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awesome-yolo-object-detection

🚀🚀🚀 A collection of some awesome public YOLO object detection series projects and the related object detection datasets.
https://github.com/coderonion/awesome-yolo-object-detection

Last synced: 5 days ago
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Blogs
Lighter and Deployment Frameworks
- laugh12321/TensorRT-YOLO - YOLO?style=social"/> : 🚀 Easier & Faster YOLO Deployment Toolkit for NVIDIA 🛠️. 🚀 TensorRT-YOLO is an easy-to-use, extremely efficient inference deployment tool for the YOLO series designed specifically for NVIDIA devices. The project not only integrates TensorRT plugins to enhance post-processing but also utilizes CUDA kernels and CUDA graphs to accelerate inference. 🚀 TensorRT-YOLO 是一款专为 NVIDIA 设备设计的易用灵活、极致高效的YOLO系列推理部署工具。项目不仅集成了 TensorRT 插件以增强后处理效果，还使用了 CUDA 核函数以及 CUDA 图来加速推理。
- LSH9832/edgeyolo - real-time anchor-free object detector with decent performance.
- murufeng/awesome_lightweight_networks - V2，LCNet，ConvNeXt，etc. ⭐⭐⭐⭐⭐
- Bobo-y/flexible-yolov5 - y/flexible-yolov5?style=social"/> : More readable and flexible yolov5 with more backbone(resnet, shufflenet, moblienet, efficientnet, hrnet, swin-transformer) and (cbam，dcn and so on), and tensorrt.
- XingZeng307/YOLOv5_with_BiFPN
- dog-qiuqiu/MobileNet-Yolo - qiuqiu/MobileNet-Yolo?style=social"/> : MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB🔥🔥🔥.
- eric612/MobileNet-YOLO - YOLO?style=social"/> : A caffe implementation of MobileNet-YOLO detection network.
- eric612/Mobilenet-YOLO-Pytorch - YOLO-Pytorch?style=social"/> : Include mobilenet series (v1,v2,v3...) and yolo series (yolov3,yolov4,...) .
- Bobo-y/flexible-yolov5 - y/flexible-yolov5?style=social"/> : More readable and flexible yolov5 with more backbone(resnet, shufflenet, moblienet, efficientnet, hrnet, swin-transformer) and (cbam，dcn and so on), and tensorrt.
- dog-qiuqiu/MobileNet-Yolo - qiuqiu/MobileNet-Yolo?style=social"/> : MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB🔥🔥🔥.
- eric612/MobileNet-YOLO - YOLO?style=social"/> : A caffe implementation of MobileNet-YOLO detection network.
- eric612/Mobilenet-YOLO-Pytorch - YOLO-Pytorch?style=social"/> : Include mobilenet series (v1,v2,v3...) and yolo series (yolov3,yolov4,...) .
- Adamdad/keras-YOLOv3-mobilenet - YOLOv3-mobilenet?style=social"/> : A Keras implementation of YOLOv3 (Tensorflow backend) inspired by [allanzelener/YAD2K](https://github.com/allanzelener/YAD2K).
- fsx950223/mobilenetv2-yolov3 - yolov3?style=social"/> : yolov3 with mobilenetv2 and efficientnet.
- liux0614/yolo_nano
- lingtengqiu/Yolo_Nano
- bubbliiiing/efficientnet-yolo3-pytorch - yolo3-pytorch?style=social"/> : 这是一个efficientnet-yolo3-pytorch的源码，将yolov3的主干特征提取网络修改成了efficientnet。
- HuKai97/YOLOv5-ShuffleNetv2 - ShuffleNetv2?style=social"/> : YOLOv5的轻量化改进(蜂巢检测项目)。
- YOLO-ReT - ReT: Towards High Accuracy Real-time Object Detection on Edge GPUs". (**[WACV 2022](https://openaccess.thecvf.com/content/WACV2022/html/Ganesh_YOLO-ReT_Towards_High_Accuracy_Real-Time_Object_Detection_on_Edge_GPUs_WACV_2022_paper.html)**)
- Torch-Pruning - Pruning?style=social"/> : Towards Any Structural Pruning; LLMs / SAM / Diffusion / Transformers / YOLOv8 / CNNs. "Towards Any Structural Pruning". (**[CVPR 2023](https://openaccess.thecvf.com/content/CVPR2023/html/Fang_DepGraph_Towards_Any_Structural_Pruning_CVPR_2023_paper.html)**)
- SparseML - order approximation for neural network compression". (**[NeurIPS 2020](https://proceedings.neurips.cc/paper/2020/hash/d1ff1ec86b62cd5f3903ff19c3a326b2-Abstract.html)**)
- SparseZoo - quantized models with matching sparsification recipes.
- Gumpest/YOLOv5-Multibackbone-Compression - Multibackbone-Compression?style=social"/> : YOLOv5 Series Multi-backbone(TPH-YOLOv5, Ghostnet, ShuffleNetv2, Mobilenetv3Small, EfficientNetLite, PP-LCNet, SwinTransformer YOLO), Module(CBAM, DCN), Pruning (EagleEye, Network Slimming) and Quantization (MQBench) Compression Tool Box.
- Adamdad/keras-YOLOv3-mobilenet - YOLOv3-mobilenet?style=social"/> : A Keras implementation of YOLOv3 (Tensorflow backend) inspired by [allanzelener/YAD2K](https://github.com/allanzelener/YAD2K).
- fsx950223/mobilenetv2-yolov3 - yolov3?style=social"/> : yolov3 with mobilenetv2 and efficientnet.
- liux0614/yolo_nano
- lingtengqiu/Yolo_Nano
- bubbliiiing/mobilenet-yolov4-pytorch - yolov4-pytorch?style=social"/> : 这是一个mobilenet-yolov4的库，把yolov4主干网络修改成了mobilenet，修改了Panet的卷积组成，使参数量大幅度缩小。
- bubbliiiing/efficientnet-yolo3-pytorch - yolo3-pytorch?style=social"/> : 这是一个efficientnet-yolo3-pytorch的源码，将yolov3的主干特征提取网络修改成了efficientnet。
- HuKai97/YOLOv5-ShuffleNetv2 - ShuffleNetv2?style=social"/> : YOLOv5的轻量化改进(蜂巢检测项目)。
- YOLO-ReT - ReT: Towards High Accuracy Real-time Object Detection on Edge GPUs". (**[WACV 2022](https://openaccess.thecvf.com/content/WACV2022/html/Ganesh_YOLO-ReT_Towards_High_Accuracy_Real-Time_Object_Detection_on_Edge_GPUs_WACV_2022_paper.html)**)
- Torch-Pruning - Pruning?style=social"/> : Towards Any Structural Pruning; LLMs / SAM / Diffusion / Transformers / YOLOv8 / CNNs. "Towards Any Structural Pruning". (**[CVPR 2023](https://openaccess.thecvf.com/content/CVPR2023/html/Fang_DepGraph_Towards_Any_Structural_Pruning_CVPR_2023_paper.html)**)
- SparseML - order approximation for neural network compression". (**[NeurIPS 2020](https://proceedings.neurips.cc/paper/2020/hash/d1ff1ec86b62cd5f3903ff19c3a326b2-Abstract.html)**)
- SparseZoo - quantized models with matching sparsification recipes.
- Gumpest/YOLOv5-Multibackbone-Compression - Multibackbone-Compression?style=social"/> : YOLOv5 Series Multi-backbone(TPH-YOLOv5, Ghostnet, ShuffleNetv2, Mobilenetv3Small, EfficientNetLite, PP-LCNet, SwinTransformer YOLO), Module(CBAM, DCN), Pruning (EagleEye, Network Slimming) and Quantization (MQBench) Compression Tool Box.
- SlimYOLOv3 - Time Applications". (**[arXiv 2019](https://arxiv.org/abs/1907.11093)**)
- uyzhang/yolov5_prune
- midasklr/yolov5prune
- ZJU-lishuang/yolov5_prune - lishuang/yolov5_prune?style=social"/> : yolov5 prune，Support V2, V3, V4 and V6 versions of yolov5.
- sbbug/yolov5-prune-multi - prune-multi?style=social"/> : yolov5-prune-multi 无人机视角、多模态、模型剪枝、国产AI芯片部署。
- Syencil/mobile-yolov5-pruning-distillation - yolov5-pruning-distillation?style=social"/> : mobilev2-yolov5s剪枝、蒸馏，支持ncnn，tensorRT部署。ultra-light but better performence！
- Lam1360/YOLOv3-model-pruning - model-pruning?style=social"/> : 在 oxford hand 数据集上对 YOLOv3 做模型剪枝（network slimming）。
- coldlarry/YOLOv3-complete-pruning - complete-pruning?style=social"/> : 提供对YOLOv3及Tiny的多种剪枝版本，以适应不同的需求。
- SlimYOLOv3 - Time Applications". (**[arXiv 2019](https://arxiv.org/abs/1907.11093)**)
- Syencil/mobile-yolov5-pruning-distillation - yolov5-pruning-distillation?style=social"/> : mobilev2-yolov5s剪枝、蒸馏，支持ncnn，tensorRT部署。ultra-light but better performence！
- Lam1360/YOLOv3-model-pruning - model-pruning?style=social"/> : 在 oxford hand 数据集上对 YOLOv3 做模型剪枝（network slimming）。
- tanluren/yolov3-channel-and-layer-pruning - channel-and-layer-pruning?style=social"/> : yolov3 yolov4 channel and layer pruning, Knowledge Distillation 层剪枝，通道剪枝，知识蒸馏。
- SpursLipu/YOLOv3v4-ModelCompression-MultidatasetTraining-Multibackbone - ModelCompression-MultidatasetTraining-Multibackbone?style=social"/> : YOLO ModelCompression MultidatasetTraining.
- talebolano/yolov3-network-slimming - network-slimming?style=social"/> : yolov3 network slimming剪枝的一种实现。
- uyzhang/yolov5_prune
- midasklr/yolov5prune
- sbbug/yolov5-prune-multi - prune-multi?style=social"/> : yolov5-prune-multi 无人机视角、多模态、模型剪枝、国产AI芯片部署。
- Bigtuo/YOLOX-Lite - Lite?style=social"/> : 将YOLOv5-Lite代码中的head更换为YOLOX head。
- YINYIPENG-EN/Pruning_for_YOLOV5_pytorch - EN/Pruning_for_YOLOV5_pytorch?style=social"/> : Pruning_for_YOLOV5_pytorch.
- SpursLipu/YOLOv3v4-ModelCompression-MultidatasetTraining-Multibackbone - ModelCompression-MultidatasetTraining-Multibackbone?style=social"/> : YOLO ModelCompression MultidatasetTraining.
- talebolano/yolov3-network-slimming - network-slimming?style=social"/> : yolov3 network slimming剪枝的一种实现。
- Bigtuo/YOLOX-Lite - Lite?style=social"/> : 将YOLOv5-Lite代码中的head更换为YOLOX head。
- YINYIPENG-EN/Pruning_for_YOLOV5_pytorch - EN/Pruning_for_YOLOV5_pytorch?style=social"/> : Pruning_for_YOLOV5_pytorch.
- chumingqian/Model_Compression_For_YOLOV3-V4 - V4?style=social"/> : In this repository using the dynamic sparse training( variable sparse rate s which can speed up the sparse training process), channel pruning and knowledge distilling for YOLOV3 and YOLOV4.
- xhwNobody/yolov5_prune_sfp
- chumingqian/Model_Compression_For_YOLOV3-V4 - V4?style=social"/> : In this repository using the dynamic sparse training( variable sparse rate s which can speed up the sparse training process), channel pruning and knowledge distilling for YOLOV3 and YOLOV4.
- xhwNobody/yolov5_prune_sfp
- dog-qiuqiu/FastestDet - qiuqiu/FastestDet?style=social"/> : ⚡ A newly designed ultra lightweight anchor free target detection algorithm， weight only 250K parameters， reduces the time consumption by 10% compared with yolo-fastest, and the post-processing is simpler. "知乎「马雪浩」《[FastestDet: 比yolo-fastest更快！更强！更简单！全新设计的超实时Anchor-free目标检测算法](https://zhuanlan.zhihu.com/p/536500269)》"。 "微信公众号「计算机视觉研究院」《[FastestDet：比yolov5更快！更强！全新设计的超实时Anchor-free目标检测算法（附源代码下载）](https://mp.weixin.qq.com/s/Bskc5WQd8ujy16Jl4qekjQ)》"。
- dog-qiuqiu/Yolo-FastestV2 - qiuqiu/Yolo-FastestV2?style=social"/> : Yolo-FastestV2:更快，更轻，移动端可达300FPS，参数量仅250k。 "知乎「马雪浩」《[Yolo-FastestV2:更快，更轻，移动端可达300FPS，参数量仅250k](https://zhuanlan.zhihu.com/p/400474142)》"。
- YOLObile - Time Object Detection on Mobile Devices via Compression-Compilation Co-Design". (**[AAAI 2021](https://www.aaai.org/AAAI21Papers/AAAI-7561.CaiY.pdf)**)
- PaddleSlim - source library for deep model compression and architecture search. PaddleSlim是一个专注于深度学习模型压缩的工具库，提供低比特量化、知识蒸馏、稀疏化和模型结构搜索等模型压缩策略，帮助用户快速实现模型的小型化。
- PINTO_model_zoo - converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.
- dog-qiuqiu/Yolo-Fastest - qiuqiu/Yolo-Fastest?style=social"/> : Yolo-Fastest：超超超快的开源ARM实时目标检测算法。 [Zenodo 2021](http://doi.org/10.5281/zenodo.5131532). "知乎「马雪浩」《[Yolo-Fastest：超超超快的开源ARM实时目标检测算法](https://zhuanlan.zhihu.com/p/234506503)》"。
- dog-qiuqiu/Yolo-FastestV2 - qiuqiu/Yolo-FastestV2?style=social"/> : Yolo-FastestV2:更快，更轻，移动端可达300FPS，参数量仅250k。 "知乎「马雪浩」《[Yolo-FastestV2:更快，更轻，移动端可达300FPS，参数量仅250k](https://zhuanlan.zhihu.com/p/400474142)》"。
- YOLObile - Time Object Detection on Mobile Devices via Compression-Compilation Co-Design". (**[AAAI 2021](https://www.aaai.org/AAAI21Papers/AAAI-7561.CaiY.pdf)**)
- PaddleSlim - source library for deep model compression and architecture search. PaddleSlim是一个专注于深度学习模型压缩的工具库，提供低比特量化、知识蒸馏、稀疏化和模型结构搜索等模型压缩策略，帮助用户快速实现模型的小型化。
- ppogg/YOLOv5-Lite - Lite?style=social"/> : 🍅🍅🍅YOLOv5-Lite: lighter, faster and easier to deploy. Evolved from yolov5 and the size of model is only 930+kb (int8) and 1.7M (fp16). It can reach 10+ FPS on the Raspberry Pi 4B when the input size is 320×320~
- AlexeyAB/yolo2_light - inference, BIT1-XNOR-inference).
- torchdistill - matsubara/torchdistill?style=social"/> : torchdistill: A Modular, Configuration-Driven Framework for Knowledge Distillation. A coding-free framework built on PyTorch for reproducible deep learning studies. 🏆20 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.
- wonbeomjang/yolov5-knowledge-distillation - knowledge-distillation?style=social"/> : implementation of [Distilling Object Detectors with Fine-grained Feature Imitation](https://github.com/twangnh/Distilling-Object-Detectors) on yolov5. "Distilling Object Detectors with Fine-grained Feature Imitation". (**[CVPR 2019](https://openaccess.thecvf.com/content_CVPR_2019/html/Wang_Distilling_Object_Detectors_With_Fine-Grained_Feature_Imitation_CVPR_2019_paper.html)**)
- Sharpiless/Yolov5-distillation-train-inference - distillation-train-inference?style=social"/> : Yolov5 distillation training | Yolov5知识蒸馏训练，支持训练自己的数据。
- Sharpiless/yolov5-distillation-5.0 - distillation-5.0?style=social"/> : yolov5 5.0 version distillation || yolov5 5.0版本知识蒸馏，yolov5l >> yolov5s。
- Sharpiless/yolov5-knowledge-distillation - knowledge-distillation?style=social"/> : yolov5目标检测模型的知识蒸馏（基于响应的蒸馏）。
- Sharpiless/Yolov3-MobileNet-Distillation - MobileNet-Distillation?style=social"/> : 在Yolov3-MobileNet上进行模型蒸馏训练。
- ONNXMLTools
- ppogg/YOLOv5-Lite - Lite?style=social"/> : 🍅🍅🍅YOLOv5-Lite: lighter, faster and easier to deploy. Evolved from yolov5 and the size of model is only 930+kb (int8) and 1.7M (fp16). It can reach 10+ FPS on the Raspberry Pi 4B when the input size is 320×320~
- AlexeyAB/yolo2_light - inference, BIT1-XNOR-inference).
- torchdistill - matsubara/torchdistill?style=social"/> : torchdistill: A Modular, Configuration-Driven Framework for Knowledge Distillation. A coding-free framework built on PyTorch for reproducible deep learning studies. 🏆20 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.
- wonbeomjang/yolov5-knowledge-distillation - knowledge-distillation?style=social"/> : implementation of [Distilling Object Detectors with Fine-grained Feature Imitation](https://github.com/twangnh/Distilling-Object-Detectors) on yolov5. "Distilling Object Detectors with Fine-grained Feature Imitation". (**[CVPR 2019](https://openaccess.thecvf.com/content_CVPR_2019/html/Wang_Distilling_Object_Detectors_With_Fine-Grained_Feature_Imitation_CVPR_2019_paper.html)**)
- Sharpiless/Yolov5-distillation-train-inference - distillation-train-inference?style=social"/> : Yolov5 distillation training | Yolov5知识蒸馏训练，支持训练自己的数据。
- Sharpiless/yolov5-distillation-5.0 - distillation-5.0?style=social"/> : yolov5 5.0 version distillation || yolov5 5.0版本知识蒸馏，yolov5l >> yolov5s。
- Sharpiless/yolov5-knowledge-distillation - knowledge-distillation?style=social"/> : yolov5目标检测模型的知识蒸馏（基于响应的蒸馏）。
- magicshuang/yolov5_distillation - l模型压缩至yolov5-s 压缩算法是 [Distilling Object Detectors with Fine-grained Feature Imitation](https://github.com/twangnh/Distilling-Object-Detectors)。
- xboot/libonnx
- Sharpiless/Yolov3-MobileNet-Distillation - MobileNet-Distillation?style=social"/> : 在Yolov3-MobileNet上进行模型蒸馏训练。
- SsisyphusTao/Object-Detection-Knowledge-Distillation - Detection-Knowledge-Distillation?style=social"/> : An Object Detection Knowledge Distillation framework powered by pytorch, now having SSD and yolov5.
- ONNX Runtime - platform, high performance ML inferencing and training accelerator. [onnxruntime.ai](https://onnxruntime.ai/)
- ONNX
- kraiskil/onnx2c
- tract - nonsense, self-contained, Tensorflow and ONNX inference
- onnxruntime-rs - rs?style=social"/> : This is an attempt at a Rust wrapper for [Microsoft's ONNX Runtime](https://github.com/microsoft/onnxruntime) (version 1.8).
- Wonnx - accelerated ONNX inference run-time written 100% in Rust, ready for the web.
- altius
- Hyuto/yolo-nas-onnx - nas-onnx?style=social"/> : Inference YOLO-NAS ONNX model. [hyuto.github.io/yolo-nas-onnx/](https://hyuto.github.io/yolo-nas-onnx/)
- DanielSarmiento04/yolov10cpp
- NVIDIA/TensorRT - performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT. [developer.nvidia.com/tensorrt](https://developer.nvidia.com/tensorrt)
- NVIDIA/TensorRT-LLM - LLM?style=social"/> : TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines. [nvidia.github.io/TensorRT-LLM](https://nvidia.github.io/TensorRT-LLM)
- kalfazed/tensorrt_starter
- SsisyphusTao/Object-Detection-Knowledge-Distillation - Detection-Knowledge-Distillation?style=social"/> : An Object Detection Knowledge Distillation framework powered by pytorch, now having SSD and yolov5.
- ONNX Runtime - platform, high performance ML inferencing and training accelerator. [onnxruntime.ai](https://onnxruntime.ai/)
- ONNX
- ONNXMLTools
- xboot/libonnx
- kraiskil/onnx2c
- onnxruntime-rs - rs?style=social"/> : This is an attempt at a Rust wrapper for [Microsoft's ONNX Runtime](https://github.com/microsoft/onnxruntime) (version 1.8).
- Wonnx - accelerated ONNX inference run-time written 100% in Rust, ready for the web.
- altius
- Hyuto/yolo-nas-onnx - nas-onnx?style=social"/> : Inference YOLO-NAS ONNX model. [hyuto.github.io/yolo-nas-onnx/](https://hyuto.github.io/yolo-nas-onnx/)
- DanielSarmiento04/yolov10cpp
- NVIDIA/TensorRT - performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT. [developer.nvidia.com/tensorrt](https://developer.nvidia.com/tensorrt)
- NVIDIA/TensorRT-LLM - LLM?style=social"/> : TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines. [nvidia.github.io/TensorRT-LLM](https://nvidia.github.io/TensorRT-LLM)
- kalfazed/tensorrt_starter
- wang-xinyu/tensorrtx - xinyu/tensorrtx?style=social"/> : TensorRTx aims to implement popular deep learning networks with tensorrt network definition APIs.
- olibartfast/object-detection-inference - detection-inference?style=social"/> : C++ object detection inference from video or image input source. Inference for object detection from a video or image input source, with support for multiple switchable frameworks to manage the inference process, and optional GStreamer integration for video capture.
- spacewalk01/yolov11-tensorrt - tensorrt?style=social"/> : C++ implementation of YOLOv11 using TensorRT API.
- shouxieai/tensorRT_Pro
- shouxieai/infer
- emptysoal/TensorRT-YOLOv8-ByteTrack - YOLOv8-ByteTrack?style=social"/> : An object tracking project with YOLOv8 and ByteTrack, speed up by C++ and TensorRT.
- Linaom1214/TensorRT-For-YOLO-Series - For-YOLO-Series?style=social"/> : tensorrt for yolo series (YOLOv10,YOLOv9,YOLOv8,YOLOv7,YOLOv6,YOLOX,YOLOv5), nms plugin support.
- l-sf/Linfer - sf/Linfer?style=social"/> : 基于TensorRT的C++高性能推理库，Yolov10, YoloPv2，Yolov5/7/X/8，RT-DETR，单目标跟踪OSTrack、LightTrack。
- taifyang/yolo-inference - inference?style=social"/> : C++ and Python implementations of YOLOv5, YOLOv6, YOLOv7, YOLOv8, YOLOv9, YOLOv10, YOLOv11 inference.
- 1461521844lijin/trt_yolo_video_pipeline
- FeiYull/TensorRT-Alpha - AI-IOT/torch2trt?style=social"/> : 🔥🔥🔥TensorRT for YOLOv8、YOLOv8-Pose、YOLOv8-Seg、YOLOv8-Cls、YOLOv7、YOLOv6、YOLOv5、YOLONAS......🚀🚀🚀CUDA IS ALL YOU NEED.🍎🍎🍎
- triple-Mu/YOLOv8-TensorRT - Mu/YOLOv8-TensorRT?style=social"/> : YOLOv8 using TensorRT accelerate !
- cyrusbehr/YOLOv8-TensorRT-CPP - TensorRT-CPP?style=social"/> : YOLOv8 TensorRT C++ Implementation. A C++ Implementation of YoloV8 using TensorRT Supports object detection, semantic segmentation, and body pose estimation.
- emptysoal/TensorRT-YOLOv8 - YOLOv8?style=social"/> : Based on tensorrt v8.0+, deploy detect, pose, segment, tracking of YOLOv8 with C++ and python api.
- hamdiboukamcha/yolov10-tensorrt - tensorrt?style=social"/> : YOLOv10 C++ TensorRT : Real-Time End-to-End Object Detection.
- VIDIA-AI-IOT/torch2trt - AI-IOT/torch2trt?style=social"/> : An easy to use PyTorch to TensorRT converter.
- zhiqwang/yolort
- DefTruth/lite.ai.toolkit
- spacewalk01/yolov11-tensorrt - tensorrt?style=social"/> : C++ implementation of YOLOv11 using TensorRT API.
- shouxieai/tensorRT_Pro
- shouxieai/infer
- emptysoal/TensorRT-YOLOv8-ByteTrack - YOLOv8-ByteTrack?style=social"/> : An object tracking project with YOLOv8 and ByteTrack, speed up by C++ and TensorRT.
- Linaom1214/TensorRT-For-YOLO-Series - For-YOLO-Series?style=social"/> : tensorrt for yolo series (YOLOv10,YOLOv9,YOLOv8,YOLOv7,YOLOv6,YOLOX,YOLOv5), nms plugin support.
- l-sf/Linfer - sf/Linfer?style=social"/> : 基于TensorRT的C++高性能推理库，Yolov10, YoloPv2，Yolov5/7/X/8，RT-DETR，单目标跟踪OSTrack、LightTrack。
- taifyang/yolo-inference - inference?style=social"/> : C++ and Python implementations of YOLOv5, YOLOv6, YOLOv7, YOLOv8, YOLOv9 and YOLOv10 inference.
- 1461521844lijin/trt_yolo_video_pipeline
- FeiYull/TensorRT-Alpha - AI-IOT/torch2trt?style=social"/> : 🔥🔥🔥TensorRT for YOLOv8、YOLOv8-Pose、YOLOv8-Seg、YOLOv8-Cls、YOLOv7、YOLOv6、YOLOv5、YOLONAS......🚀🚀🚀CUDA IS ALL YOU NEED.🍎🍎🍎
- triple-Mu/YOLOv8-TensorRT - Mu/YOLOv8-TensorRT?style=social"/> : YOLOv8 using TensorRT accelerate !
- cyrusbehr/YOLOv8-TensorRT-CPP - TensorRT-CPP?style=social"/> : YOLOv8 TensorRT C++ Implementation. A C++ Implementation of YoloV8 using TensorRT Supports object detection, semantic segmentation, and body pose estimation.
- emptysoal/TensorRT-YOLOv8 - YOLOv8?style=social"/> : Based on tensorrt v8.0+, deploy detect, pose, segment, tracking of YOLOv8 with C++ and python api.
- hamdiboukamcha/yolov10-tensorrt - tensorrt?style=social"/> : YOLOv10 C++ TensorRT : Real-Time End-to-End Object Detection.
- VIDIA-AI-IOT/torch2trt - AI-IOT/torch2trt?style=social"/> : An easy to use PyTorch to TensorRT converter.
- zhiqwang/yolort
- BlueMirrors/Yolov5-TensorRT - TensorRT?style=social"/> : Yolov5 TensorRT Implementations.
- lewes6369/TensorRT-Yolov3 - Yolov3?style=social"/> : TensorRT for Yolov3.
- CaoWGG/TensorRT-YOLOv4 - YOLOv4?style=social"/> :tensorrt5, yolov4, yolov3,yolov3-tniy,yolov3-tniy-prn.
- guojianyang/cv-detect-robot - detect-robot?style=social"/> : 🔥🔥🔥🔥🔥🔥Docker NVIDIA Docker2 YOLOV5 YOLOX YOLO Deepsort TensorRT ROS Deepstream Jetson Nano TX2 NX for High-performance deployment(高性能部署)。
- BlueMirrors/Yolov5-TensorRT - TensorRT?style=social"/> : Yolov5 TensorRT Implementations.
- lewes6369/TensorRT-Yolov3 - Yolov3?style=social"/> : TensorRT for Yolov3.
- CaoWGG/TensorRT-YOLOv4 - YOLOv4?style=social"/> :tensorrt5, yolov4, yolov3,yolov3-tniy,yolov3-tniy-prn.
- isarsoft/yolov4-triton-tensorrt - triton-tensorrt?style=social"/> : YOLOv4 on Triton Inference Server with TensorRT.
- PaddlePaddle/FastDeploy - to-use and Fast Deep Learning Model Deployment Toolkit for ☁️Cloud 📱Mobile and 📹Edge. Including Image, Video, Text and Audio 20+ main stream scenarios and 150+ SOTA models with end-to-end optimization, multi-platform and multi-framework support.
- enazoe/yolo-tensorrt - tensorrt?style=social"/> : TensorRT8.Support Yolov5n,s,m,l,x .darknet -> tensorrt. Yolov4 Yolov3 use raw darknet *.weights and *.cfg fils. If the wrapper is useful to you,please Star it.
- TrojanXu/yolov5-tensorrt - tensorrt?style=social"/> : A tensorrt implementation of yolov5.
- Syencil/tensorRT - 7 Network Lib 包括常用目标检测、关键点检测、人脸检测、OCR等可训练自己数据。
- tjuskyzhang/Scaled-YOLOv4-TensorRT - YOLOv4-TensorRT?style=social"/> : Implement yolov4-tiny-tensorrt, yolov4-csp-tensorrt, yolov4-large-tensorrt(p5, p6, p7) layer by layer using TensorRT API.
- SeanAvery/yolov5-tensorrt - tensorrt?style=social"/> : YOLOv5 in TensorRT.
- Monday-Leo/YOLOv7_Tensorrt - Leo/YOLOv7_Tensorrt?style=social"/> : A simple implementation of Tensorrt YOLOv7.
- ibaiGorordo/ONNX-YOLOv6-Object-Detection - YOLOv6-Object-Detection?style=social"/> : Python scripts performing object detection using the YOLOv6 model in ONNX.
- ibaiGorordo/ONNX-YOLOv7-Object-Detection - YOLOv7-Object-Detection?style=social"/> : Python scripts performing object detection using the YOLOv7 model in ONNX.
- triple-Mu/yolov7 - Mu/yolov7?style=social"/> : End2end TensorRT YOLOv7.
- isarsoft/yolov4-triton-tensorrt - triton-tensorrt?style=social"/> : YOLOv4 on Triton Inference Server with TensorRT.
- tjuskyzhang/Scaled-YOLOv4-TensorRT - YOLOv4-TensorRT?style=social"/> : Implement yolov4-tiny-tensorrt, yolov4-csp-tensorrt, yolov4-large-tensorrt(p5, p6, p7) layer by layer using TensorRT API.
- Syencil/tensorRT - 7 Network Lib 包括常用目标检测、关键点检测、人脸检测、OCR等可训练自己数据。
- SeanAvery/yolov5-tensorrt - tensorrt?style=social"/> : YOLOv5 in TensorRT.
- Monday-Leo/YOLOv7_Tensorrt - Leo/YOLOv7_Tensorrt?style=social"/> : A simple implementation of Tensorrt YOLOv7.
- ibaiGorordo/ONNX-YOLOv7-Object-Detection - YOLOv7-Object-Detection?style=social"/> : Python scripts performing object detection using the YOLOv7 model in ONNX.
- triple-Mu/yolov7 - Mu/yolov7?style=social"/> : End2end TensorRT YOLOv7.
- hewen0901/yolov7_trt
- tsutof/tiny_yolov2_onnx_cam
- Monday-Leo/Yolov5_Tensorrt_Win10 - Leo/Yolov5_Tensorrt_Win10?style=social"/> : A simple implementation of tensorrt yolov5 python/c++🔥
- Wulingtian/yolov5_tensorrt_int8
- Wulingtian/yolov5_tensorrt_int8_tools
- MadaoFY/yolov5_TensorRT_inference
- ibaiGorordo/ONNX-YOLOv8-Object-Detection - YOLOv8-Object-Detection?style=social"/> : Python scripts performing object detection using the YOLOv8 model in ONNX.
- we0091234/yolov8-tensorrt - tensorrt?style=social"/> : yolov8 tensorrt 加速.
- FeiYull/yolov8-tensorrt - tensorrt?style=social"/> : YOLOv8的TensorRT+CUDA加速部署，代码可在Win、Linux下运行。
- cvdong/YOLO_TRT_SIM
- cvdong/YOLO_TRT_PY
- tatsuya-fukuoka/yolov7-onnx-infer - fukuoka/yolov7-onnx-infer?style=social"/> : Inference with yolov7's onnx model.
- ervgan/yolov5_tensorrt_inference
- AlbinZhu/easy-trt - trt?style=social"/> : TensorRT for YOLOv10 with CUDA.
- cvdong/YOLO_TRT_SIM
- cvdong/YOLO_TRT_PY
- hewen0901/yolov7_trt
- tsutof/tiny_yolov2_onnx_cam
- Monday-Leo/Yolov5_Tensorrt_Win10 - Leo/Yolov5_Tensorrt_Win10?style=social"/> : A simple implementation of tensorrt yolov5 python/c++🔥
- Wulingtian/yolov5_tensorrt_int8
- Wulingtian/yolov5_tensorrt_int8_tools
- MadaoFY/yolov5_TensorRT_inference
- ibaiGorordo/ONNX-YOLOv8-Object-Detection - YOLOv8-Object-Detection?style=social"/> : Python scripts performing object detection using the YOLOv8 model in ONNX.
- we0091234/yolov8-tensorrt - tensorrt?style=social"/> : yolov8 tensorrt 加速.
- FeiYull/yolov8-tensorrt - tensorrt?style=social"/> : YOLOv8的TensorRT+CUDA加速部署，代码可在Win、Linux下运行。
- tatsuya-fukuoka/yolov7-onnx-infer - fukuoka/yolov7-onnx-infer?style=social"/> : Inference with yolov7's onnx model.
- ervgan/yolov5_tensorrt_inference
- AlbinZhu/easy-trt - trt?style=social"/> : TensorRT for YOLOv10 with CUDA.
- PrinceP/tensorrt-cpp-for-onnx - cpp-for-onnx?style=social"/> : Tensorrt codebase to inference in c++ for all major neural arch using onnx.
- hamdiboukamcha/Yolo-V10-cpp-TensorRT - V10-cpp-TensorRT?style=social"/> : The YOLOv10 C++ TensorRT Project in C++ and optimized using NVIDIA TensorRT.
- PrinceP/tensorrt-cpp-for-onnx - cpp-for-onnx?style=social"/> : Tensorrt codebase to inference in c++ for all major neural arch using onnx.
- hamdiboukamcha/Yolo-V10-cpp-TensorRT - V10-cpp-TensorRT?style=social"/> : The YOLOv10 C++ TensorRT Project in C++ and optimized using NVIDIA TensorRT.
- NVIDIA-AI-IOT/deepstream_reference_apps - AI-IOT/deepstream_reference_apps?style=social"/> : Reference Apps using DeepStream 6.1.
- NVIDIA-AI-IOT/deepstream_python_apps - AI-IOT/deepstream_python_apps?style=social"/> : DeepStream SDK Python bindings and sample applications.
- NVIDIA-AI-IOT/deepstream_python_apps - AI-IOT/yolov5_gpu_optimization?style=social"/> : This repository provides YOLOV5 GPU optimization sample.
- marcoslucianops/DeepStream-Yolo - Yolo?style=social"/> : NVIDIA DeepStream SDK 6.1.1 / 6.1 / 6.0.1 / 6.0 implementation for YOLO models.
- DanaHan/Yolov5-in-Deepstream-5.0 - in-Deepstream-5.0?style=social"/> : Describe how to use yolov5 in Deepstream 5.0.
- ozinc/Deepstream6_YoloV5_Kafka - Yolo models predict and send message over kafka.
- bharath5673/Deepstream
- Savant - platform/Savant?style=social"/> : Python Computer Vision & Video Analytics Framework With Batteries Included. [savant-ai.io](https://savant-ai.io/)
- Savant - YOLOv11?style=social"/> : Plug-and-Play Custom Parsers for AI Models in NVIDIA DeepStream SDK. Supported YOLOv11 model.
- PINTO0309/OpenVINO-YoloV3 - YoloV3?style=social"/> : YoloV3/tiny-YoloV3 + RaspberryPi3/Ubuntu LaptopPC + NCS/NCS2 + USB Camera + Python + OpenVINO.
- fb029ed/yolov5_cpp_openvino
- dlod-openvino/yolov5_infer - openvino/yolov5_infer?style=social"/> : Do the YOLOv5 model inference by OpenCV/OpenVINO based on onnx model format.
- NVIDIA-AI-IOT/deepstream_reference_apps - AI-IOT/deepstream_reference_apps?style=social"/> : Reference Apps using DeepStream 6.1.
- NVIDIA-AI-IOT/deepstream_python_apps - AI-IOT/deepstream_python_apps?style=social"/> : DeepStream SDK Python bindings and sample applications.
- NVIDIA-AI-IOT/deepstream_python_apps - AI-IOT/yolov5_gpu_optimization?style=social"/> : This repository provides YOLOV5 GPU optimization sample.
- marcoslucianops/DeepStream-Yolo - Yolo?style=social"/> : NVIDIA DeepStream SDK 6.1.1 / 6.1 / 6.0.1 / 6.0 implementation for YOLO models.
- DanaHan/Yolov5-in-Deepstream-5.0 - in-Deepstream-5.0?style=social"/> : Describe how to use yolov5 in Deepstream 5.0.
- ozinc/Deepstream6_YoloV5_Kafka - Yolo models predict and send message over kafka.
- bharath5673/Deepstream
- Savant - platform/Savant?style=social"/> : Python Computer Vision & Video Analytics Framework With Batteries Included. [savant-ai.io](https://savant-ai.io/)
- snail0614/yolov5.6_openvino_cpp
- Savant - YOLOv11?style=social"/> : Plug-and-Play Custom Parsers for AI Models in NVIDIA DeepStream SDK. Supported YOLOv11 model.
- OpenVINO - Training Optimization Tool, as well as CPU, GPU, MYRIAD, multi device and heterogeneous plugins to accelerate deep learning inferencing on Intel® CPUs and Intel® Processor Graphics.
- PINTO0309/OpenVINO-YoloV3 - YoloV3?style=social"/> : YoloV3/tiny-YoloV3 + RaspberryPi3/Ubuntu LaptopPC + NCS/NCS2 + USB Camera + Python + OpenVINO.
- TNTWEN/OpenVINO-YOLOV4 - YOLOV4?style=social"/> : This is implementation of YOLOv4,YOLOv4-relu,YOLOv4-tiny,YOLOv4-tiny-3l,Scaled-YOLOv4 and INT8 Quantization in OpenVINO2021.3.
- dacquaviva/yolov5-openvino-cpp-python - openvino-cpp-python?style=social"/> : Example of using ultralytics YOLOv5 with Openvino in C++ and Python.
- rlggyp/YOLOv10-OpenVINO-CPP-Inference - OpenVINO-CPP-Inference?style=social"/> : YOLOv10 C++ implementation using OpenVINO for efficient and accurate real-time object detection.
- NCNN - performance neural network inference framework optimized for the mobile platform.
- Baiyuetribe/ncnn-models - models?style=social"/> : awesome AI models with NCNN, and how they were converted ✨✨✨
- Qengineering/YoloV10-ncnn-Raspberry-Pi-4 - ncnn-Raspberry-Pi-4?style=social"/> : YoloV10 for a bare Raspberry Pi 4 or 5.
- cmdbug/YOLOv5_NCNN
- natanielruiz/android-yolo - yolo?style=social"/> : Real-time object detection on Android using the YOLO network with TensorFlow.
- nihui/ncnn-android-yolov5 - android-yolov5?style=social"/> : The YOLOv5 object detection android example.
- szaza/android-yolo-v2 - yolo-v2?style=social"/> : Android YOLO real time object detection sample application with Tensorflow mobile.
- FeiGeChuanShu/ncnn-android-yolox - android-yolox?style=social"/> : Real time yolox Android demo by ncnn.
- xiangweizeng/darknet2ncnn
- sunnyden/YOLOV5_NCNN_Android
- TNTWEN/OpenVINO-YOLOV4 - YOLOV4?style=social"/> : This is implementation of YOLOv4,YOLOv4-relu,YOLOv4-tiny,YOLOv4-tiny-3l,Scaled-YOLOv4 and INT8 Quantization in OpenVINO2021.3.
- fb029ed/yolov5_cpp_openvino
- dlod-openvino/yolov5_infer - openvino/yolov5_infer?style=social"/> : Do the YOLOv5 model inference by OpenCV/OpenVINO based on onnx model format.
- snail0614/yolov5.6_openvino_cpp
- dacquaviva/yolov5-openvino-cpp-python - openvino-cpp-python?style=social"/> : Example of using ultralytics YOLOv5 with Openvino in C++ and Python.
- rlggyp/YOLOv10-OpenVINO-CPP-Inference - OpenVINO-CPP-Inference?style=social"/> : YOLOv10 C++ implementation using OpenVINO for efficient and accurate real-time object detection.
- NCNN - performance neural network inference framework optimized for the mobile platform.
- Baiyuetribe/ncnn-models - models?style=social"/> : awesome AI models with NCNN, and how they were converted ✨✨✨
- Qengineering/YoloV10-ncnn-Raspberry-Pi-4 - ncnn-Raspberry-Pi-4?style=social"/> : YoloV10 for a bare Raspberry Pi 4 or 5.
- cmdbug/YOLOv5_NCNN
- natanielruiz/android-yolo - yolo?style=social"/> : Real-time object detection on Android using the YOLO network with TensorFlow.
- nihui/ncnn-android-yolov5 - android-yolov5?style=social"/> : The YOLOv5 object detection android example.
- szaza/android-yolo-v2 - yolo-v2?style=social"/> : Android YOLO real time object detection sample application with Tensorflow mobile.
- FeiGeChuanShu/ncnn-android-yolox - android-yolox?style=social"/> : Real time yolox Android demo by ncnn.
- xiangweizeng/darknet2ncnn
- sunnyden/YOLOV5_NCNN_Android
- duangenquan/YoloV2NCS
- lp6m/yolov5s_android
- KoheiKanagu/ncnn_yolox_flutter
- cyrillkuettel/ncnn-android-yolov5 - android-yolov5?style=social"/> : This is a sample ncnn android project, it depends on ncnn library and opencv.
- Qengineering/YoloV5-ncnn-Raspberry-Pi-4 - ncnn-Raspberry-Pi-4?style=social"/> : YoloV5 for a bare Raspberry Pi 4.
- Qengineering/YoloV6-ncnn-Raspberry-Pi-4 - ncnn-Raspberry-Pi-4?style=social"/> : YoloV6 for a bare Raspberry Pi using ncnn.
- Qengineering/YoloV7-ncnn-Raspberry-Pi-4 - ncnn-Raspberry-Pi-4?style=social"/> : YoloV7 for a bare Raspberry Pi using ncnn.
- Qengineering/YoloV8-ncnn-Raspberry-Pi-4 - ncnn-Raspberry-Pi-4?style=social"/> : YoloV8 for a bare Raspberry Pi 4.
- FeiGeChuanShu/ncnn-android-yolov8 - android-yolov8?style=social"/> : Real time yolov8 Android demo by ncnn.
- FLamefiREz/yolov10-android-ncnn - android-ncnn?style=social"/> : yolov10-android-ncnn.
- MNN - tested by business-critical use cases in Alibaba. (**[MLSys 2020](https://proceedings.mlsys.org/paper/2020/hash/8f14e45fceea167a5a36dedd4bea2543-Abstract.html)**)
- apxlwl/MNN-yolov3 - yolov3?style=social"/> : MNN demo of Strongeryolo, including channel pruning, android support...
- TVM
- ceccocats/tkDNN
- Tengine
- Paddle Lite - lite?style=social"/> : Multi-platform high performance deep learning inference engine (飞桨多端多平台高性能深度学习推理引擎）。
- yhwang-hub/dl_model_infer - hub/dl_model_infer?style=social"/> : his is a c++ version of the AI reasoning library. Currently, it only supports the reasoning of the tensorrt model. The follow-up plan supports the c++ reasoning of frameworks such as Openvino, NCNN, and MNN. There are two versions for pre- and post-processing, c++ version and cuda version. It is recommended to use the cuda version., This repository provides accelerated deployment cases of deep learning CV popular models, and cuda c supports dynamic-batch image process, infer, decode, NMS.
- hollance/YOLO-CoreML-MPSNNGraph - CoreML-MPSNNGraph?style=social"/> : Tiny YOLO for iOS implemented using CoreML but also using the new MPS graph API.
- r4ghu/iOS-CoreML-Yolo - CoreML-Yolo?style=social"/> : This is the implementation of Object Detection using Tiny YOLO v1 model on Apple's CoreML Framework.
- airockchip/rknn_model_zoo
- LynxiTechnology/Lynxi-model-zoo - model-zoo?style=social"/> : Lynxi-model-zoo.
- KoheiKanagu/ncnn_yolox_flutter
- cyrillkuettel/ncnn-android-yolov5 - android-yolov5?style=social"/> : This is a sample ncnn android project, it depends on ncnn library and opencv.
- DataXujing/ncnn_android_yolov6
- Qengineering/YoloV3-ncnn-Raspberry-Pi-4 - ncnn-Raspberry-Pi-4?style=social"/> : YoloV3 Raspberry Pi 4.
- Qengineering/YoloV4-ncnn-Raspberry-Pi-4 - ncnn-Raspberry-Pi-4?style=social"/> : YoloV4 on a bare Raspberry Pi 4 with ncnn framework.
- Qengineering/YoloV7-ncnn-Raspberry-Pi-4 - ncnn-Raspberry-Pi-4?style=social"/> : YoloV7 for a bare Raspberry Pi using ncnn.
- DataXujing/ncnn_android_yolov6
- Qengineering/YoloV3-ncnn-Raspberry-Pi-4 - ncnn-Raspberry-Pi-4?style=social"/> : YoloV3 Raspberry Pi 4.
- Qengineering/YoloV4-ncnn-Raspberry-Pi-4 - ncnn-Raspberry-Pi-4?style=social"/> : YoloV4 on a bare Raspberry Pi 4 with ncnn framework.
- Qengineering/YoloV5-ncnn-Raspberry-Pi-4 - ncnn-Raspberry-Pi-4?style=social"/> : YoloV5 for a bare Raspberry Pi 4.
- Qengineering/YoloV6-ncnn-Raspberry-Pi-4 - ncnn-Raspberry-Pi-4?style=social"/> : YoloV6 for a bare Raspberry Pi using ncnn.
- Qengineering/YoloV8-ncnn-Raspberry-Pi-4 - ncnn-Raspberry-Pi-4?style=social"/> : YoloV8 for a bare Raspberry Pi 4.
- FeiGeChuanShu/ncnn-android-yolov8 - android-yolov8?style=social"/> : Real time yolov8 Android demo by ncnn.
- FLamefiREz/yolov10-android-ncnn - android-ncnn?style=social"/> : yolov10-android-ncnn.
- MNN - tested by business-critical use cases in Alibaba. (**[MLSys 2020](https://proceedings.mlsys.org/paper/2020/hash/8f14e45fceea167a5a36dedd4bea2543-Abstract.html)**)
- apxlwl/MNN-yolov3 - yolov3?style=social"/> : MNN demo of Strongeryolo, including channel pruning, android support...
- TVM
- ceccocats/tkDNN
- Paddle Lite - lite?style=social"/> : Multi-platform high performance deep learning inference engine (飞桨多端多平台高性能深度学习推理引擎）。
- yhwang-hub/dl_model_infer - hub/dl_model_infer?style=social"/> : his is a c++ version of the AI reasoning library. Currently, it only supports the reasoning of the tensorrt model. The follow-up plan supports the c++ reasoning of frameworks such as Openvino, NCNN, and MNN. There are two versions for pre- and post-processing, c++ version and cuda version. It is recommended to use the cuda version., This repository provides accelerated deployment cases of deep learning CV popular models, and cuda c supports dynamic-batch image process, infer, decode, NMS.
- hollance/YOLO-CoreML-MPSNNGraph - CoreML-MPSNNGraph?style=social"/> : Tiny YOLO for iOS implemented using CoreML but also using the new MPS graph API.
- r4ghu/iOS-CoreML-Yolo - CoreML-Yolo?style=social"/> : This is the implementation of Object Detection using Tiny YOLO v1 model on Apple's CoreML Framework.
- airockchip/rknn_model_zoo
- LynxiTechnology/Lynxi-model-zoo - model-zoo?style=social"/> : Lynxi-model-zoo.
- Xilinx/Vitis-AI - AI?style=social"/> : Vitis AI offers a unified set of high-level C++/Python programming APIs to run AI applications across edge-to-cloud platforms, including DPU for Alveo, and DPU for Zynq Ultrascale+ MPSoC and Zynq-7000. It brings the benefits to easily port AI applications from cloud to edge and vice versa. 10 samples in [VART Samples](https://github.com/Xilinx/Vitis-AI/tree/master/demo/VART) are available to help you get familiar with the unfied programming APIs. [Vitis-AI-Library](https://github.com/Xilinx/Vitis-AI/tree/master/demo/Vitis-AI-Library) provides an easy-to-use and unified interface by encapsulating many efficient and high-quality neural networks.
- 19801201/SpinalHDL_CNN_Accelerator
- Xilinx/Vitis-AI - AI?style=social"/> : Vitis AI offers a unified set of high-level C++/Python programming APIs to run AI applications across edge-to-cloud platforms, including DPU for Alveo, and DPU for Zynq Ultrascale+ MPSoC and Zynq-7000. It brings the benefits to easily port AI applications from cloud to edge and vice versa. 10 samples in [VART Samples](https://github.com/Xilinx/Vitis-AI/tree/master/demo/VART) are available to help you get familiar with the unfied programming APIs. [Vitis-AI-Library](https://github.com/Xilinx/Vitis-AI/tree/master/demo/Vitis-AI-Library) provides an easy-to-use and unified interface by encapsulating many efficient and high-quality neural networks.
- tensil-ai/tensil - ai/tensil?style=social"/> : Open source machine learning accelerators. [www.tensil.ai](https://www.tensil.ai/)
- 19801201/SpinalHDL_CNN_Accelerator
- Yu-Zhewen/Tiny_YOLO_v3_ZYNQ - Zhewen/Tiny_YOLO_v3_ZYNQ?style=social"/> : Implement Tiny YOLO v3 on ZYNQ. "A Parameterisable FPGA-Tailored Architecture for YOLOv3-Tiny". (**[ARC 2020](https://link.springer.com/chapter/10.1007/978-3-030-44534-8_25)**)
- HSqure/ultralytics-pt-yolov3-vitis-ai-edge - pt-yolov3-vitis-ai-edge?style=social"/> : This demo is only used for inference testing of Vitis AI v1.4 and quantitative compilation of DPU. It is compatible with the training results of [ultralytics/yolov3](https://github.com/ultralytics/yolov3) v9.5.0 (it needs to use the model saving method of Pytorch V1.4).
- mcedrdiego/Kria_yolov3_ppe - Time Personal Protective Equipment Detection. "Deep Learning for Site Safety: Real-Time Detection of Personal Protective Equipment". (**[Automation in Construction 2020](https://www.sciencedirect.com/science/article/abs/pii/S0926580519308325)**)
- xlsjdjdk/Ship-Detection-based-on-YOLOv3-and-KV260 - Detection-based-on-YOLOv3-and-KV260?style=social"/> : This is the entry project of the Xilinx Adaptive Computing Challenge 2021. It uses YOLOv3 for ship target detection in optical remote sensing images, and deploys DPU on the KV260 platform to achieve hardware acceleration.
- Pomiculture/YOLOv4-Vitis-AI - Vitis-AI?style=social"/> : Custom YOLOv4 for apple recognition (clean/damaged) on Alveo U280 accelerator card using Vitis AI framework.
- mkshuvo2/ZCU104_YOLOv3_Post_Processing
- dhm2013724/yolov2_xilinx_fpga - 7000 Soc(PYNQ-z2, Zedboard and ZCU102). (**[硕士论文 2019](https://kns.cnki.net/KCMS/detail/detail.aspx?dbcode=CMFD&dbname=CMFDTEMP&filename=1019228234.nh&uid=WEEvREcwSlJHSldRa1FhdXNXaEhoOGhUTzA5T0tESzdFZ2pyR1NJR1ZBaz0=$9A4hF_YAuvQ5obgVAqNKPCYcEjKensW4IQMovwHtwkF4VYPoHbKxJw!!&v=MjE5NTN5dmdXN3JBVkYyNkY3RzZGdFBQcTVFYlBJUjhlWDFMdXhZUzdEaDFUM3FUcldNMUZyQ1VSTE9lWnVkdUY=), [电子技术应用 2019](https://kns.cnki.net/KCMS/detail/detail.aspx?dbcode=CJFQ&dbname=CJFDLAST2019&filename=DZJY201908009&uid=WEEvREcwSlJHSldRa1FhdXNXaEhoOGhUTzA5T0tESzdFZ2pyR1NJR1ZBaz0=$9A4hF_YAuvQ5obgVAqNKPCYcEjKensW4IQMovwHtwkF4VYPoHbKxJw!!&v=MDU0NDJDVVJMT2VadWR1Rnl2Z1c3ck1JVGZCZDdHNEg5ak1wNDlGYllSOGVYMUx1eFlTN0RoMVQzcVRyV00xRnI=), [计算机科学与探索 2019](https://kns.cnki.net/KCMS/detail/detail.aspx?dbcode=CJFQ&dbname=CJFDTEMP&filename=KXTS201910005&uid=WEEvREcwSlJHSldRa1FhdXNXaEhoOGhUTzA5T0tESzdFZ2pyR1NJR1ZBaz0=$9A4hF_YAuvQ5obgVAqNKPCYcEjKensW4IQMovwHtwkF4VYPoHbKxJw!!&v=MjkwNzdXTTFGckNVUkxPZVp1ZHVGeXZnVzdyT0xqWGZmYkc0SDlqTnI0OUZZWVI4ZVgxTHV4WVM3RGgxVDNxVHI=)**)
- Yu-Zhewen/Tiny_YOLO_v3_ZYNQ - Zhewen/Tiny_YOLO_v3_ZYNQ?style=social"/> : Implement Tiny YOLO v3 on ZYNQ. "A Parameterisable FPGA-Tailored Architecture for YOLOv3-Tiny". (**[ARC 2020](https://link.springer.com/chapter/10.1007/978-3-030-44534-8_25)**)
- HSqure/ultralytics-pt-yolov3-vitis-ai-edge - pt-yolov3-vitis-ai-edge?style=social"/> : This demo is only used for inference testing of Vitis AI v1.4 and quantitative compilation of DPU. It is compatible with the training results of [ultralytics/yolov3](https://github.com/ultralytics/yolov3) v9.5.0 (it needs to use the model saving method of Pytorch V1.4).
- mcedrdiego/Kria_yolov3_ppe - Time Personal Protective Equipment Detection. "Deep Learning for Site Safety: Real-Time Detection of Personal Protective Equipment". (**[Automation in Construction 2020](https://www.sciencedirect.com/science/article/abs/pii/S0926580519308325)**)
- xlsjdjdk/Ship-Detection-based-on-YOLOv3-and-KV260 - Detection-based-on-YOLOv3-and-KV260?style=social"/> : This is the entry project of the Xilinx Adaptive Computing Challenge 2021. It uses YOLOv3 for ship target detection in optical remote sensing images, and deploys DPU on the KV260 platform to achieve hardware acceleration.
- Pomiculture/YOLOv4-Vitis-AI - Vitis-AI?style=social"/> : Custom YOLOv4 for apple recognition (clean/damaged) on Alveo U280 accelerator card using Vitis AI framework.
- mkshuvo2/ZCU104_YOLOv3_Post_Processing
- puffdrum/v4tiny_pt_quant - ai-pytorch.
- chanshann/LITE_YOLOV3_TINY_VITISAI
- matsuda-slab/YOLO_ZYNQ_MASTER - slab/YOLO_ZYNQ_MASTER?style=social"/> : Implementation of YOLOv3-tiny on FPGA.
- puffdrum/v4tiny_pt_quant - ai-pytorch.
- chanshann/LITE_YOLOV3_TINY_VITISAI
- LukiBa/zybo_yolo - 7000 FPGA board.
- ZLkanyo009/Yolo-compression-and-deployment-in-FPGA - compression-and-deployment-in-FPGA?style=social"/> : 基于FPGA量化的人脸口罩检测。
- xiying-boy/yolov3-AX7350 - boy/yolov3-AX7350?style=social"/> : 基于HLS_YOLOV3的驱动文件。
- himewel/yolowell - design of convolutional neural networks inference at FPGA devices.
- matsuda-slab/YOLO_ZYNQ_MASTER - slab/YOLO_ZYNQ_MASTER?style=social"/> : Implementation of YOLOv3-tiny on FPGA.
- FerberZhang/Yolov2-FPGA-CNN- - FPGA-CNN-?style=social"/> : A demo for accelerating YOLOv2 in xilinx's fpga PYNQ.
- xbdxwyh/yolov3_fpga_project
- embedeep/Free-TPU - TPU?style=social"/> : Free TPU for FPGA with Lenet, MobileNet, Squeezenet, Resnet, Inception V3, YOLO V3, and ICNet. Deep learning acceleration using Xilinx zynq (Zedboard or ZC702 ) or kintex-7 to solve image classification, detection, and segmentation problem.
- yarakigit/design_contest_yolo_change_ps_to_pl - metal (FPGA implementation).
- MasLiang/CNN-On-FPGA - On-FPGA?style=social"/> : This is the code of the CNN on FPGA.But this can only be used for reference at present for some files are write coarsly using ISE.
- adamgallas/fpga_accelerator_yolov3tiny
- FerberZhang/Yolov2-FPGA-CNN- - FPGA-CNN-?style=social"/> : A demo for accelerating YOLOv2 in xilinx's fpga PYNQ.
- yarakigit/design_contest_yolo_change_ps_to_pl - metal (FPGA implementation).
- xbdxwyh/yolov3_fpga_project
- ZLkanyo009/Yolo-compression-and-deployment-in-FPGA - compression-and-deployment-in-FPGA?style=social"/> : 基于FPGA量化的人脸口罩检测。
- xiying-boy/yolov3-AX7350 - boy/yolov3-AX7350?style=social"/> : 基于HLS_YOLOV3的驱动文件。
- himewel/yolowell - design of convolutional neural networks inference at FPGA devices.
- embedeep/Free-TPU - TPU?style=social"/> : Free TPU for FPGA with Lenet, MobileNet, Squeezenet, Resnet, Inception V3, YOLO V3, and ICNet. Deep learning acceleration using Xilinx zynq (Zedboard or ZC702 ) or kintex-7 to solve image classification, detection, and segmentation problem.
- MasLiang/CNN-On-FPGA - On-FPGA?style=social"/> : This is the code of the CNN on FPGA.But this can only be used for reference at present for some files are write coarsly using ISE.
- adamgallas/fpga_accelerator_yolov3tiny
- ylk678910/tiny-yolov3-fpga - yolov3-fpga?style=social"/> : Use an all-programmable SoC board to implement locating and tracking tasks. The hardware algorithm, a row-stationary-like strategy, can parallel calculate and reduce the storage buffer area on FPGA.
- ylk678910/tiny-yolov3-fpga - yolov3-fpga?style=social"/> : Use an all-programmable SoC board to implement locating and tracking tasks. The hardware algorithm, a row-stationary-like strategy, can parallel calculate and reduce the storage buffer area on FPGA.
- zhen8838/K210_Yolo_framework
- TonyZ1Min/yolo-for-k210 - for-k210?style=social"/> : keras-yolo-for-k210.
- InnoIPA/dpu-sc - sc?style=social"/> : dpu-sc presented how to create quick demos to run AI inference(YOLOv4-Tiny, LPRNet) on DPU with MPSoC.
- InnoIPA/vaiGO - ai GO. We provide utility and tutorial that make it easy to convert a trained AI model into a bitstream that can be deployed on an FPGA Edge AI Box.
- leafqycc/rknn-multi-threaded - multi-threaded?style=social"/> : A simple demo of yolov5s running on rk3588/3588s using Python (about 72 frames). / 一个使用Python在rk3588/3588s上运行的yolov5s简单demo(大约72帧/s)。
- kaylorchen/rk3588-yolo-demo - yolo-demo?style=social"/> : The project is a multi-threaded inference demo of Yolo running on the RK3588 platform, which has been adapted for reading video files and camera feeds. The demo uses the Yolov8n model for file inference, with a maximum inference frame rate of up to 100 frames per second.
- MontaukLaw/yolov5_3588_multi_thread
- crab2rab/RKNN-YOLOV5-BatchInference-MultiThreading - YOLOV5-BatchInference-MultiThreading?style=social"/> : RKNN-YOLOV5-BatchInference-MultiThreadingYOLOV5多张图片多线程C++推理。
- Qengineering/YoloV10-NPU - NPU?style=social"/> : YoloV10 NPU for the RK3566/68/88.
- cqu20160901/yolov10_rknn_Cplusplus
- Zhou-sx/yolov5_Deepsort_rknn - sx/yolov5_Deepsort_rknn?style=social"/> : Track vehicles and persons on rk3588 / rk3399pro.
- Applied-Deep-Learning-Lab/Yolov5_RK3588 - Deep-Learning-Lab/Yolov5_RK3588?style=social"/> : Yolov5_RK3588.
- guichristmann/edge-tpu-tiny-yolo - tpu-tiny-yolo?style=social"/> : Run Tiny YOLO-v3 on Google's Edge TPU USB Accelerator.
- Charlie839242/-Trash-Classification-Car - Trash-Classification-Car?style=social"/> : 这是一个基于yolo-fastest模型的小车，主控是art-pi开发板，使用了rt thread操作系统。
- zhen8838/K210_Yolo_framework
- TonyZ1Min/yolo-for-k210 - for-k210?style=social"/> : keras-yolo-for-k210.
- vseasky/yolo-for-k210 - for-k210?style=social"/> : Yolo-for-k210.
- InnoIPA/dpu-sc - sc?style=social"/> : dpu-sc presented how to create quick demos to run AI inference(YOLOv4-Tiny, LPRNet) on DPU with MPSoC.
- InnoIPA/vaiGO - ai GO. We provide utility and tutorial that make it easy to convert a trained AI model into a bitstream that can be deployed on an FPGA Edge AI Box.
- InnoIPA/EXMU-X261-usermanual - x261-usermanual?style=social"/> : We have built more defect detection solutions with YOLOv4-tiny on EXMU-X261.
- leafqycc/rknn-cpp-Multithreading - cpp-Multithreading?style=social"/> : A simple demo of yolov5s running on rk3588/3588s using c++ (about 142 frames). / 一个使用c++在rk3588/3588s上运行的yolov5s简单demo(142帧/s)。
- leafqycc/rknn-multi-threaded - multi-threaded?style=social"/> : A simple demo of yolov5s running on rk3588/3588s using Python (about 72 frames). / 一个使用Python在rk3588/3588s上运行的yolov5s简单demo(大约72帧/s)。
- kaylorchen/rk3588-yolo-demo - yolo-demo?style=social"/> : The project is a multi-threaded inference demo of Yolo running on the RK3588 platform, which has been adapted for reading video files and camera feeds. The demo uses the Yolov8n model for file inference, with a maximum inference frame rate of up to 100 frames per second.
- MontaukLaw/yolov5_3588_multi_thread
- crab2rab/RKNN-YOLOV5-BatchInference-MultiThreading - YOLOV5-BatchInference-MultiThreading?style=social"/> : RKNN-YOLOV5-BatchInference-MultiThreadingYOLOV5多张图片多线程C++推理。
- Qengineering/YoloV10-NPU - NPU?style=social"/> : YoloV10 NPU for the RK3566/68/88.
- littledeep/YOLOv5-RK3399Pro - RK3399Pro?style=social"/> : PyTorch-->ONNX-->RKNN.
- jnulzl/YOLOV5_RK1126
- cqu20160901/yolov10_rknn_Cplusplus
- Zhou-sx/yolov5_Deepsort_rknn - sx/yolov5_Deepsort_rknn?style=social"/> : Track vehicles and persons on rk3588 / rk3399pro.
- guichristmann/edge-tpu-tiny-yolo - tpu-tiny-yolo?style=social"/> : Run Tiny YOLO-v3 on Google's Edge TPU USB Accelerator.
- Charlie839242/-Trash-Classification-Car - Trash-Classification-Car?style=social"/> : 这是一个基于yolo-fastest模型的小车，主控是art-pi开发板，使用了rt thread操作系统。
- Charlie839242/Deploy-yolo-fastest-tflite-on-raspberry - yolo-fastest-tflite-on-raspberry?style=social"/> : This project deploys a yolo fastest model in the form of tflite on raspberry 3b+.
- mahxn0/Hisi3559A_Yolov5
- jveitchmichaelis/edgetpu-yolo - yolo?style=social"/> : Minimal-dependency Yolov5 export and inference demonstration for the Google Coral EdgeTPU.
- xiaqing10/Hisi_YoLoV5
- BaronLeeLZP/hi3516dv300_nnie-yolov3-demo - yolov3-demo?style=social"/> : 在海思Hisilicon的Hi3516dv300芯片上，利用nnie和opencv库，简洁了官方yolov3用例中各种复杂的嵌套调用/复杂编译，提供了交叉编译后可成功上板部署运行的demo。
- Qengineering/YoloCam - triggered GPIO. Raspberry Pi stand-alone AI-powered camera with live feed, email notification and event-triggered cloud storage.
- liuyuan000/Rv1126_YOLOv5-Lite - Lite?style=social"/> : YOLOv5-Lite在Rv1126部署。
- cqu20160901/yolov10_onnx_rknn_horizon_tensorRT
- jveitchmichaelis/edgetpu-yolo - yolo?style=social"/> : Minimal-dependency Yolov5 export and inference demonstration for the Google Coral EdgeTPU.
- Charlie839242/Deploy-yolo-fastest-tflite-on-raspberry - yolo-fastest-tflite-on-raspberry?style=social"/> : This project deploys a yolo fastest model in the form of tflite on raspberry 3b+.
- mahxn0/Hisi3559A_Yolov5
- xiaqing10/Hisi_YoLoV5
- BaronLeeLZP/hi3516dv300_nnie-yolov3-demo - yolov3-demo?style=social"/> : 在海思Hisilicon的Hi3516dv300芯片上，利用nnie和opencv库，简洁了官方yolov3用例中各种复杂的嵌套调用/复杂编译，提供了交叉编译后可成功上板部署运行的demo。
- littledeep/YOLOv5-RK3399Pro - RK3399Pro?style=social"/> : PyTorch-->ONNX-->RKNN.
- jnulzl/YOLOV5_RK1126
- Qengineering/YoloCam - triggered GPIO. Raspberry Pi stand-alone AI-powered camera with live feed, email notification and event-triggered cloud storage.
- liuyuan000/Rv1126_YOLOv5-Lite - Lite?style=social"/> : YOLOv5-Lite在Rv1126部署。
- cqu20160901/yolov10_onnx_rknn_horizon_tensorRT
- ort
- bubbliiiing/mobilenet-yolov4-pytorch - yolov4-pytorch?style=social"/> : 这是一个mobilenet-yolov4的库，把yolov4主干网络修改成了mobilenet，修改了Panet的卷积组成，使参数量大幅度缩小。
- dog-qiuqiu/FastestDet - qiuqiu/FastestDet?style=social"/> : ⚡ A newly designed ultra lightweight anchor free target detection algorithm， weight only 250K parameters， reduces the time consumption by 10% compared with yolo-fastest, and the post-processing is simpler. "知乎「马雪浩」《[FastestDet: 比yolo-fastest更快！更强！更简单！全新设计的超实时Anchor-free目标检测算法](https://zhuanlan.zhihu.com/p/536500269)》"。 "微信公众号「计算机视觉研究院」《[FastestDet：比yolov5更快！更强！全新设计的超实时Anchor-free目标检测算法（附源代码下载）](https://mp.weixin.qq.com/s/Bskc5WQd8ujy16Jl4qekjQ)》"。
- dog-qiuqiu/Yolo-Fastest - qiuqiu/Yolo-Fastest?style=social"/> : Yolo-Fastest：超超超快的开源ARM实时目标检测算法。 [Zenodo 2021](http://doi.org/10.5281/zenodo.5131532). "知乎「马雪浩」《[Yolo-Fastest：超超超快的开源ARM实时目标检测算法](https://zhuanlan.zhihu.com/p/234506503)》"。
- tract - nonsense, self-contained, Tensorflow and ONNX inference
- Melody-Zhou/tensorRT_Pro-YOLOv8 - Zhou/tensorRT_Pro-YOLOv8?style=social"/> : This repository is based on [shouxieai/tensorRT_Pro](https://github.com/shouxieai/tensorRT_Pro), with adjustments to support YOLOv8. 前已支持 YOLOv8、YOLOv8-Cls、YOLOv8-Seg、YOLOv8-OBB、YOLOv8-Pose、RT-DETR、ByteTrack、YOLOv9、YOLOv10、RTMO、PP-OCRv4、LaneATT 高性能推理！！！🚀🚀🚀
- guojianyang/cv-detect-robot - detect-robot?style=social"/> : 🔥🔥🔥🔥🔥🔥Docker NVIDIA Docker2 YOLOV5 YOLOX YOLO Deepsort TensorRT ROS Deepstream Jetson Nano TX2 NX for High-performance deployment(高性能部署)。
- OpenVINO - Training Optimization Tool, as well as CPU, GPU, MYRIAD, multi device and heterogeneous plugins to accelerate deep learning inferencing on Intel® CPUs and Intel® Processor Graphics.
- dhm2013724/yolov2_xilinx_fpga - 7000 Soc(PYNQ-z2, Zedboard and ZCU102). (**[硕士论文 2019](https://kns.cnki.net/KCMS/detail/detail.aspx?dbcode=CMFD&dbname=CMFDTEMP&filename=1019228234.nh&uid=WEEvREcwSlJHSldRa1FhdXNXaEhoOGhUTzA5T0tESzdFZ2pyR1NJR1ZBaz0=$9A4hF_YAuvQ5obgVAqNKPCYcEjKensW4IQMovwHtwkF4VYPoHbKxJw!!&v=MjE5NTN5dmdXN3JBVkYyNkY3RzZGdFBQcTVFYlBJUjhlWDFMdXhZUzdEaDFUM3FUcldNMUZyQ1VSTE9lWnVkdUY=), [电子技术应用 2019](https://kns.cnki.net/KCMS/detail/detail.aspx?dbcode=CJFQ&dbname=CJFDLAST2019&filename=DZJY201908009&uid=WEEvREcwSlJHSldRa1FhdXNXaEhoOGhUTzA5T0tESzdFZ2pyR1NJR1ZBaz0=$9A4hF_YAuvQ5obgVAqNKPCYcEjKensW4IQMovwHtwkF4VYPoHbKxJw!!&v=MDU0NDJDVVJMT2VadWR1Rnl2Z1c3ck1JVGZCZDdHNEg5ak1wNDlGYllSOGVYMUx1eFlTN0RoMVQzcVRyV00xRnI=), [计算机科学与探索 2019](https://kns.cnki.net/KCMS/detail/detail.aspx?dbcode=CJFQ&dbname=CJFDTEMP&filename=KXTS201910005&uid=WEEvREcwSlJHSldRa1FhdXNXaEhoOGhUTzA5T0tESzdFZ2pyR1NJR1ZBaz0=$9A4hF_YAuvQ5obgVAqNKPCYcEjKensW4IQMovwHtwkF4VYPoHbKxJw!!&v=MjkwNzdXTTFGckNVUkxPZVp1ZHVGeXZnVzdyT0xqWGZmYkc0SDlqTnI0OUZZWVI4ZVgxTHV4WVM3RGgxVDNxVHI=)**)
- leafqycc/rknn-cpp-Multithreading - cpp-Multithreading?style=social"/> : A simple demo of yolov5s running on rk3588/3588s using c++ (about 142 frames). / 一个使用c++在rk3588/3588s上运行的yolov5s简单demo(142帧/s)。
- wzxzhuxi/rknn-3588-npu-yolo-accelerate - 3588-npu-yolo-accelerate?style=social"/> : rknn-3588部署yolov5，利用线程池实现npu推理加速；Deploying YOLOv5 on RKNN-3588, utilizing a thread pool to achieve NPU inference acceleration.
- DeployAI/nndeploy - platform, high-performing, and straightforward AI model deployment framework. We strive to deliver a consistent and user-friendly experience across various inference framework in complex deployment environments and focus on performance. nndeploy一款跨平台、高性能、简单易用的模型端到端部署框架。我们致力于屏蔽不同推理框架的差异，提供一致且用户友好的编程体验，同时专注于部署全流程的性能。
- Qengineering/YoloV8-NPU - NPU?style=social"/> : YoloV8 for RK3566/68/88 NPU (Rock 5, Orange Pi 5, Radxa Zero 3).
- aemior/yolov8n_rk3588
- cqu20160901/yolov8n_rknn_Cplusplus_dfl
- cqu20160901/yolov8seg_rknn_Cplusplus
- Ley-WL/ultralytics-rknn - WL/ultralytics-rknn?style=social"/> : 基于ultralytics-yolov8, 将其检测/分类/分割/姿态等任务移植到rk3588上。
- 455670288/rknn-yolov8s-multi-thread-inference - yolov8s-multi-thread-inference?style=social"/> : yolov8s在rk3588的推理部署，并使用多线程池并行npu推理加速。
- laugh12321/TensorRT-YOLO - YOLO?style=social"/> : 🚀 Easier & Faster YOLO Deployment Toolkit for NVIDIA 🛠️. 🚀 TensorRT-YOLO is an easy-to-use, extremely efficient inference deployment tool for the YOLO series designed specifically for NVIDIA devices. The project not only integrates TensorRT plugins to enhance post-processing but also utilizes CUDA kernels and CUDA graphs to accelerate inference. 🚀 TensorRT-YOLO 是一款专为 NVIDIA 设备设计的易用灵活、极致高效的YOLO系列推理部署工具。项目不仅集成了 TensorRT 插件以增强后处理效果，还使用了 CUDA 核函数以及 CUDA 图来加速推理。
- Psynosaur/Jetson-SecVision - SecVision?style=social"/> : Person detection for Hikvision DVR with AlarmIO ports, uses TensorRT and yolov4.
Other Versions of YOLO
- Burn - rs/burn?style=social"/> : Burn - A Flexible and Comprehensive Deep Learning Framework in Rust. [burn-rs.github.io/](https://burn-rs.github.io/)
- Devmawi/BlazorObjectDetection-Sample - Sample?style=social"/> : A sample for demonstrating online execution of an onnx model by a Blazor app.
- ultralytics/yolov3
- eriklindernoren/PyTorch-YOLOv3 - YOLOv3?style=social"/> : Minimal PyTorch implementation of YOLOv3.
- ultralytics/yolov3
- eriklindernoren/PyTorch-YOLOv3 - YOLOv3?style=social"/> : Minimal PyTorch implementation of YOLOv3.
- Tianxiaomo/pytorch-YOLOv4 - YOLOv4?style=social"/> : PyTorch ,ONNX and TensorRT implementation of YOLOv4.
- ayooshkathuria/pytorch-yolo-v3 - yolo-v3?style=social"/> : A PyTorch implementation of the YOLO v3 object detection algorithm.
- WongKinYiu/PyTorch_YOLOv4
- argusswift/YOLOv4-pytorch - pytorch?style=social"/> : This is a pytorch repository of YOLOv4, attentive YOLOv4 and mobilenet YOLOv4 with PASCAL VOC and COCO.
- bubbliiiing/yolov5-v6.1-pytorch - v6.1-pytorch?style=social"/> : 这是一个yolov5-v6.1-pytorch的源码，可以用于训练自己的模型。
- bubbliiiing/yolov5-pytorch - pytorch?style=social"/> : 这是一个YoloV5-pytorch的源码，可以用于训练自己的模型。
- ayooshkathuria/pytorch-yolo-v3 - yolo-v3?style=social"/> : A PyTorch implementation of the YOLO v3 object detection algorithm.
- WongKinYiu/PyTorch_YOLOv4
- argusswift/YOLOv4-pytorch - pytorch?style=social"/> : This is a pytorch repository of YOLOv4, attentive YOLOv4 and mobilenet YOLOv4 with PASCAL VOC and COCO.
- BobLiu20/YOLOv3_PyTorch
- longcw/yolo2-pytorch - pytorch?style=social"/> : YOLOv2 in PyTorch.
- bubbliiiing/yolov5-v6.1-pytorch - v6.1-pytorch?style=social"/> : 这是一个yolov5-v6.1-pytorch的源码，可以用于训练自己的模型。
- bubbliiiing/yolov5-pytorch - pytorch?style=social"/> : 这是一个YoloV5-pytorch的源码，可以用于训练自己的模型。
- bubbliiiing/yolov4-pytorch - pytorch?style=social"/> : 这是一个YoloV4-pytorch的源码，可以用于训练自己的模型。
- bubbliiiing/yolov4-tiny-pytorch - tiny-pytorch?style=social"/> : 这是一个YoloV4-tiny-pytorch的源码，可以用于训练自己的模型。
- bubbliiiing/yolov3-pytorch - pytorch?style=social"/> : 这是一个yolo3-pytorch的源码，可以用于训练自己的模型。
- bubbliiiing/yolox-pytorch - pytorch?style=social"/> : 这是一个yolox-pytorch的源码，可以用于训练自己的模型。
- bubbliiiing/yolov7-pytorch - pytorch?style=social"/> : 这是一个yolov7的库，可以用于训练自己的数据集。
- bubbliiiing/yolov8-pytorch - pytorch?style=social"/> : 这是一个yolov8-pytorch的仓库，可以用于训练自己的数据集。
- ruiminshen/yolo2-pytorch - pytorch?style=social"/> : PyTorch implementation of the YOLO (You Only Look Once) v2.
- DeNA/PyTorch_YOLOv3
- BobLiu20/YOLOv3_PyTorch
- bubbliiiing/yolov4-tiny-pytorch - tiny-pytorch?style=social"/> : 这是一个YoloV4-tiny-pytorch的源码，可以用于训练自己的模型。
- bubbliiiing/yolov3-pytorch - pytorch?style=social"/> : 这是一个yolo3-pytorch的源码，可以用于训练自己的模型。
- bubbliiiing/yolox-pytorch - pytorch?style=social"/> : 这是一个yolox-pytorch的源码，可以用于训练自己的模型。
- bubbliiiing/yolov8-pytorch - pytorch?style=social"/> : 这是一个yolov8-pytorch的仓库，可以用于训练自己的数据集。
- ruiminshen/yolo2-pytorch - pytorch?style=social"/> : PyTorch implementation of the YOLO (You Only Look Once) v2.
- DeNA/PyTorch_YOLOv3
- Nebula4869/YOLOv5-LibTorch - LibTorch?style=social"/> : Real time object detection with deployment of YOLOv5 through LibTorch C++ API.
- abeardear/pytorch-YOLO-v1 - YOLO-v1?style=social"/> : an experiment for yolo-v1, including training and testing.
- Peterisfar/YOLOV3
- misads/easy_detection - RCNN等经典网络。
- miemie2013/miemiedetection
- pjh5672/YOLOv1
- pjh5672/YOLOv2
- pjh5672/YOLOv3
- Iywie/pl_YOLO
- DavidLandup0/deepvision - Vision Transformer (ViT), ResNetV2, EfficientNetV2, (planned...) DeepLabV3+, ConvNeXtV2, YOLO, NeRF, etc.
- theos-ai/easy-yolov7 - ai/easy-yolov7?style=social"/> : This a clean and easy-to-use implementation of YOLOv7 in PyTorch, made with ❤️ by Theos AI.
- ggml
- rockcarry/ffcnn
- ar7775/Object-Detection-System-Yolo - Detection-System-Yolo?style=social"/> : Object Detection System.
- RajneeshKumar12/yolo-detection-app - detection-app?style=social"/> : Yolo app for object detection.
- Deyht/CIANNA - Convolutional Interactive Artificial Neural Networks by/for Astrophysicists.
- walktree/libtorch-yolov3 - yolov3?style=social"/> : A Libtorch implementation of the YOLO v3 object detection algorithm, written with pure C++.
- yasenh/libtorch-yolov5 - yolov5?style=social"/> : A LibTorch inference implementation of the yolov5.
- Rane2021/yolov5_train_cpp_inference
- stephanecharette/DarkHelp
- UNeedCryDear/yolov5-opencv-dnn-cpp - opencv-dnn-cpp?style=social"/> : 使用opencv模块部署yolov5-6.0版本。
- UNeedCryDear/yolov5-seg-opencv-onnxruntime-cpp - seg-opencv-onnxruntime-cpp?style=social"/> : yolov5 segmentation with onnxruntime and opencv.
- hpc203/yolov5-dnn-cpp-python - dnn-cpp-python?style=social"/> : 用opencv的dnn模块做yolov5目标检测，包含C++和Python两个版本的程序。
- hpc203/yolox-opencv-dnn - opencv-dnn?style=social"/> : 使用OpenCV部署YOLOX，支持YOLOX-S、YOLOX-M、YOLOX-L、YOLOX-X、YOLOX-Darknet53五种结构，包含C++和Python两种版本的程序。
- hpc203/yolov7-opencv-onnxrun-cpp-py - opencv-onnxrun-cpp-py?style=social"/> : 分别使用OpenCV、ONNXRuntime部署YOLOV7目标检测，一共包含12个onnx模型，依然是包含C++和Python两个版本的程序。
- misads/easy_detection - RCNN等经典网络。
- miemiedetection
- abeardear/pytorch-YOLO-v1 - YOLO-v1?style=social"/> : an experiment for yolo-v1, including training and testing.
- wuzhihao7788/yolodet-pytorch - pytorch?style=social"/> : reproduce the YOLO series of papers in pytorch, including YOLOv4, PP-YOLO, YOLOv5，YOLOv3, etc.
- Peterisfar/YOLOV3
- pjh5672/YOLOv1
- pjh5672/YOLOv2
- pjh5672/YOLOv3
- Iywie/pl_YOLO
- DavidLandup0/deepvision - Vision Transformer (ViT), ResNetV2, EfficientNetV2, (planned...) DeepLabV3+, ConvNeXtV2, YOLO, NeRF, etc.
- theos-ai/easy-yolov7 - ai/easy-yolov7?style=social"/> : This a clean and easy-to-use implementation of YOLOv7 in PyTorch, made with ❤️ by Theos AI.
- ggml
- rockcarry/ffcnn
- ar7775/Object-Detection-System-Yolo - Detection-System-Yolo?style=social"/> : Object Detection System.
- lstuma/YOLO_utils
- RajneeshKumar12/yolo-detection-app - detection-app?style=social"/> : Yolo app for object detection.
- Deyht/CIANNA - Convolutional Interactive Artificial Neural Networks by/for Astrophysicists.
- walktree/libtorch-yolov3 - yolov3?style=social"/> : A Libtorch implementation of the YOLO v3 object detection algorithm, written with pure C++.
- yasenh/libtorch-yolov5 - yolov5?style=social"/> : A LibTorch inference implementation of the yolov5.
- Nebula4869/YOLOv5-LibTorch - LibTorch?style=social"/> : Real time object detection with deployment of YOLOv5 through LibTorch C++ API.
- Rane2021/yolov5_train_cpp_inference
- stephanecharette/DarkHelp
- UNeedCryDear/yolov5-opencv-dnn-cpp - opencv-dnn-cpp?style=social"/> : 使用opencv模块部署yolov5-6.0版本。
- UNeedCryDear/yolov5-seg-opencv-onnxruntime-cpp - seg-opencv-onnxruntime-cpp?style=social"/> : yolov5 segmentation with onnxruntime and opencv.
- hpc203/yolov5-dnn-cpp-python - dnn-cpp-python?style=social"/> : 用opencv的dnn模块做yolov5目标检测，包含C++和Python两个版本的程序。
- hpc203/yolox-opencv-dnn - opencv-dnn?style=social"/> : 使用OpenCV部署YOLOX，支持YOLOX-S、YOLOX-M、YOLOX-L、YOLOX-X、YOLOX-Darknet53五种结构，包含C++和Python两种版本的程序。
- hpc203/yolov7-opencv-onnxrun-cpp-py - opencv-onnxrun-cpp-py?style=social"/> : 分别使用OpenCV、ONNXRuntime部署YOLOV7目标检测，一共包含12个onnx模型，依然是包含C++和Python两个版本的程序。
- doleron/yolov5-opencv-cpp-python - opencv-cpp-python?style=social"/> : Example of using ultralytics YOLO V5 with OpenCV 4.5.4, C++ and Python.
- UNeedCryDear/yolov8-opencv-onnxruntime-cpp - opencv-onnxruntime-cpp?style=social"/> : detection and instance segmentation of yolov8,use onnxruntime and opencv.
- mgonzs13/yolov8_ros
- Tossy0423/yolov4-for-darknet_ros - for-darknet_ros?style=social"/> : This is the environment in which YOLO V4 is ported to darknet_ros.
- doleron/yolov5-opencv-cpp-python - opencv-cpp-python?style=social"/> : Example of using ultralytics YOLO V5 with OpenCV 4.5.4, C++ and Python.
- UNeedCryDear/yolov8-opencv-onnxruntime-cpp - opencv-onnxruntime-cpp?style=social"/> : detection and instance segmentation of yolov8,use onnxruntime and opencv.
- mgonzs13/yolov8_ros
- leggedrobotics/darknet_ros - Time Object Detection for ROS.
- engcang/ros-yolo-sort - yolo-sort?style=social"/> : YOLO and SORT, and ROS versions of them.
- chrisgundling/YoloLight - YOLO-v2 ROS Node for Traffic Light Detection.
- Ar-Ray-code/YOLOX-ROS - Ray-code/YOLOX-ROS?style=social"/> : YOLOX + ROS2 object detection package.
- ziyan0302/Yolov5_DeepSort_Pytorch_ros
- lukazso/yolov6-ros - ros?style=social"/> : ROS package for YOLOv6.
- qq44642754a/Yolov5_ros - time object detection with ROS, based on YOLOv5 and PyTorch (基于 YOLOv5的ROS实时对象检测).
- lukazso/yolov7-ros - ros?style=social"/> : ROS package for official YOLOv7.
- leggedrobotics/darknet_ros - Time Object Detection for ROS.
- engcang/ros-yolo-sort - yolo-sort?style=social"/> : YOLO and SORT, and ROS versions of them.
- chrisgundling/YoloLight - YOLO-v2 ROS Node for Traffic Light Detection.
- Ar-Ray-code/YOLOX-ROS - Ray-code/YOLOX-ROS?style=social"/> : YOLOX + ROS2 object detection package.
- Ar-Ray-code/YOLOv5-ROS - Ray-code/YOLOv5-ROS?style=social"/> : YOLOv5 + ROS2 object detection package.
- Tossy0423/yolov4-for-darknet_ros - for-darknet_ros?style=social"/> : This is the environment in which YOLO V4 is ported to darknet_ros.
- qianmin/yolov5_ROS
- ConfusionTechnologies/ros-yolov5-node - yolov5-node?style=social"/> : For ROS2, uses ONNX GPU Runtime to inference YOLOv5.
- ailllist/yolov5_ROS
- Shua-Kang/ros_pytorch_yolov5 - Kang/ros_pytorch_yolov5?style=social"/> : A ROS wrapper for yolov5. (master branch is v5.0 of yolov5; for v6.1, see branch v6.1).
- ziyan0302/Yolov5_DeepSort_Pytorch_ros
- U07157135/ROS2-with-YOLOv5 - with-YOLOv5?style=social"/> : 在無人機上以ROS2技術實現YOLOv5物件偵測。
- lukazso/yolov6-ros - ros?style=social"/> : ROS package for YOLOv6.
- qq44642754a/Yolov5_ros - time object detection with ROS, based on YOLOv5 and PyTorch (基于 YOLOv5的ROS实时对象检测).
- lukazso/yolov7-ros - ros?style=social"/> : ROS package for official YOLOv7.
- phuoc101/yolov7_ros
- af-doom/yolov8_ros_tensorrt- - doom/yolov8_ros_tensorrt-?style=social"/> : This is a YOLOv8 project based on ROS implementation, where YOLOv8 uses Tensorrt acceleration.
- KoKoMier/ros_darknet_yolov4
- YellowAndGreen/Yolov5-OpenCV-Cpp-Python-ROS - OpenCV-Cpp-Python-ROS?style=social"/> : Inference with YOLOv5, OpenCV 4.5.4 DNN, C++, ROS and Python.
- fishros/yolov5_ros2
- fateshelled/EdgeYOLO-ROS - ROS?style=social"/> : EdgeYOLO + ROS2 object detection package.
- vivaldini/yolov6-uav - uav?style=social"/> : This repository contains a ROS noetic package for YOLOv6 to recognize objects from UAV and provide their positions.
- Alpaca-zip/ultralytics_ros - zip/ultralytics_ros?style=social"/> : ROS/ROS2 package for Ultralytics YOLOv8 real-time object detection.
- Candle
- phuoc101/yolov7_ros
- ConfusionTechnologies/ros-yolov5-node - yolov5-node?style=social"/> : For ROS2, uses ONNX GPU Runtime to inference YOLOv5.
- Ar-Ray-code/darknet_ros_fp16 - Ray-code/darknet_ros_fp16?style=social"/> : darknet + ROS2 Humble + OpenCV4 + CUDA 11（cuDNN, Jetson Orin）.
- wk123467/yolov5s_trt_ros
- PardisTaghavi/yolov7_strongsort_ros
- KoKoMier/ros_darknet_yolov4
- af-doom/yolov8_ros_tensorrt- - doom/yolov8_ros_tensorrt-?style=social"/> : This is a YOLOv8 project based on ROS implementation, where YOLOv8 uses Tensorrt acceleration.
- YellowAndGreen/Yolov5-OpenCV-Cpp-Python-ROS - OpenCV-Cpp-Python-ROS?style=social"/> : Inference with YOLOv5, OpenCV 4.5.4 DNN, C++, ROS and Python.
- fishros/yolov5_ros2
- fateshelled/EdgeYOLO-ROS - ROS?style=social"/> : EdgeYOLO + ROS2 object detection package.
- vivaldini/yolov6-uav - uav?style=social"/> : This repository contains a ROS noetic package for YOLOv6 to recognize objects from UAV and provide their positions.
- Alpaca-zip/ultralytics_ros - zip/ultralytics_ros?style=social"/> : ROS/ROS2 package for Ultralytics YOLOv8 real-time object detection.
- taalhaataahir0102/Mojo-Yolo - Yolo?style=social"/> : Mojo-Yolo.
- Candle
- Tokenizers - of-the-Art Tokenizers optimized for Research and Production. [huggingface.co/docs/tokenizers](https://huggingface.co/docs/tokenizers/index)
- Safetensors
- TensorFlow Rust
- tch-rs - rs?style=social"/> : Rust bindings for the C++ api of PyTorch.
- dfdx
- usls - Language models.
- ptaxom/pnn - based and TensorRT-based inference engines.
- bencevans/rust-opencv-yolov5 - opencv-yolov5?style=social"/> : YOLOv5 Inference with ONNX & OpenCV in Rust.
- masc-it/yolov5-api-rust - it/yolov5-api-rust?style=social"/> : Rust API to run predictions with YoloV5 models.
- AndreyGermanov/yolov8_onnx_rust
- igor-yusupov/rusty-yolo - yusupov/rusty-yolo?style=social"/> : rusty-yolo.
- gsuyemoto/yolo-rust - rust?style=social"/> : Run YOLO computer vision model using Rust and OpenCV and/or Torch.
- alianse777/darknet-rust - rust?style=social"/> : A Rust wrapper for Darknet, an open source neural network framework written in C and CUDA. [pjreddie.com/darknet/](https://pjreddie.com/darknet/)
- TKGgunter/yolov4_tiny_rs
- Tokenizers - of-the-Art Tokenizers optimized for Research and Production. [huggingface.co/docs/tokenizers](https://huggingface.co/docs/tokenizers/index)
- Safetensors
- TensorFlow Rust
- tch-rs - rs?style=social"/> : Rust bindings for the C++ api of PyTorch.
- dfdx
- usls - Language models.
- ptaxom/pnn - based and TensorRT-based inference engines.
- bencevans/rust-opencv-yolov5 - opencv-yolov5?style=social"/> : YOLOv5 Inference with ONNX & OpenCV in Rust.
- masc-it/yolov5-api-rust - it/yolov5-api-rust?style=social"/> : Rust API to run predictions with YoloV5 models.
- AndreyGermanov/yolov8_onnx_rust
- igor-yusupov/rusty-yolo - yusupov/rusty-yolo?style=social"/> : rusty-yolo.
- gsuyemoto/yolo-rust - rust?style=social"/> : Run YOLO computer vision model using Rust and OpenCV and/or Torch.
- alianse777/darknet-rust - rust?style=social"/> : A Rust wrapper for Darknet, an open source neural network framework written in C and CUDA. [pjreddie.com/darknet/](https://pjreddie.com/darknet/)
- 12101111/yolo-rs - rs?style=social"/> : Yolov3 & Yolov4 with TVM and rust.
- TKGgunter/yolov4_tiny_rs
- flixstn/You-Only-Look-Once - Only-Look-Once?style=social"/> : A Rust implementation of Yolo for object detection and tracking.
- lenna-project/yolo-plugin - project/yolo-plugin?style=social"/> : Yolo Object Detection Plugin for Lenna.
- laclouis5/globox-rs - rs?style=social"/> : Object detection toolbox for parsing, converting and evaluating bounding box annotations.
- metobom/tchrs-opencv-webcam-inference - opencv-webcam-inference?style=social"/> : This example shows steps for running a Python trained model on webcam feed with opencv and tch-rs. Model will run on GPU.
- LdDl/go-darknet - darknet?style=social"/> : go-darknet: Go bindings for Darknet (Yolo V4, Yolo V7-tiny, Yolo V3).
- wimspaargaren/yolov3
- wimspaargaren/yolov5
- genert/real_time_object_detection_go
- metobom/tchrs-opencv-webcam-inference - opencv-webcam-inference?style=social"/> : This example shows steps for running a Python trained model on webcam feed with opencv and tch-rs. Model will run on GPU.
- LdDl/go-darknet - darknet?style=social"/> : go-darknet: Go bindings for Darknet (Yolo V4, Yolo V7-tiny, Yolo V3).
- adalkiran/distributed-inference - inference?style=social"/> : Cross-language and distributed deep learning inference pipeline for WebRTC video streams over Redis Streams. Currently supports YOLOX model, which can run well on CPU.
- wimspaargaren/yolov3
- wimspaargaren/yolov5
- genert/real_time_object_detection_go
- ML.NET - platform machine learning framework for .NET.
- TorchSharp
- flixstn/You-Only-Look-Once - Only-Look-Once?style=social"/> : A Rust implementation of Yolo for object detection and tracking.
- TensorFlow.NET
- lenna-project/yolo-plugin - project/yolo-plugin?style=social"/> : Yolo Object Detection Plugin for Lenna.
- laclouis5/globox-rs - rs?style=social"/> : Object detection toolbox for parsing, converting and evaluating bounding box annotations.
- DlibDotNet - takeuchi/DlibDotNet?style=social"/> : Dlib .NET wrapper written in C++ and C# for Windows, MacOS, Linux and iOS.
- DiffSharp
- techwingslab/yolov5-net - net?style=social"/> : YOLOv5 object detection with C#, ML.NET, ONNX.
- sstainba/Yolov8.Net
- Alturos.Yolo - time object detection).
- ivilson/Yolov7net
- sangyuxiaowu/ml_yolov7
- keijiro/TinyYOLOv2Barracuda
- derenlei/Unity_Detection2AR
- died/YOLO3-With-OpenCvSharp4 - With-OpenCvSharp4?style=social"/> : Demo of implement YOLO v3 with OpenCvSharp v4 on C#.
- ML.NET - platform machine learning framework for .NET.
- TorchSharp
- TensorFlow.NET
- DlibDotNet - takeuchi/DlibDotNet?style=social"/> : Dlib .NET wrapper written in C++ and C# for Windows, MacOS, Linux and iOS.
- DiffSharp
- techwingslab/yolov5-net - net?style=social"/> : YOLOv5 object detection with C#, ML.NET, ONNX.
- Alturos.Yolo - time object detection).
- ivilson/Yolov7net
- sangyuxiaowu/ml_yolov7
- keijiro/TinyYOLOv2Barracuda
- derenlei/Unity_Detection2AR
- died/YOLO3-With-OpenCvSharp4 - With-OpenCvSharp4?style=social"/> : Demo of implement YOLO v3 with OpenCvSharp v4 on C#.
- mbaske/yolo-unity - unity?style=social"/> : YOLO In-Game Object Detection for Unity (Windows).
- BobLd/YOLOv4MLNet
- maalik0786/FastYolo
- Uehwan/CSharp-Yolo-Video - Yolo-Video?style=social"/> : C# Yolo for Video.
- HTTP123-A/HumanDetection_Yolov5NET - A/HumanDetection_Yolov5NET?style=social"/> : YOLOv5 object detection with ML.NET, ONNX.
- lin-tea/YOLOv5DetectionWithCSharp - tea/YOLOv5DetectionWithCSharp?style=social"/> : YOLOv5s inference In C# and Training In Python.
- CarlAreDHopen-eaton/YoloObjectDetection - eaton/YoloObjectDetection?style=social"/> : Yolo Object Detection Application for RTSP streams.
- TimothyMeadows/Yolo6.NetCore
- mbaske/yolo-unity - unity?style=social"/> : YOLO In-Game Object Detection for Unity (Windows).
- BobLd/YOLOv4MLNet
- keijiro/YoloV4TinyBarracuda - tiny object detection model on the Unity Barracuda neural network inference library.
- zhang8043/YoloWrapper
- maalik0786/FastYolo
- Uehwan/CSharp-Yolo-Video - Yolo-Video?style=social"/> : C# Yolo for Video.
- CarlAreDHopen-eaton/YoloObjectDetection - eaton/YoloObjectDetection?style=social"/> : Yolo Object Detection Application for RTSP streams.
- TimothyMeadows/Yolo6.NetCore
- mwetzko/EasyYoloDarknet
- thisistherealdiana/YOLO_project
- cj-mills/Unity-OpenVINO-YOLOX - mills/Unity-OpenVINO-YOLOX?style=social"/> : This tutorial series covers how to perform object detection in the Unity game engine with the OpenVINO™ Toolkit.
- HTTP123-A/HumanDetection_Yolov5NET - A/HumanDetection_Yolov5NET?style=social"/> : YOLOv5 object detection with ML.NET, ONNX.
- Celine-Hsieh/Hand_Gesture_Training--yolov4 - Hsieh/Hand_Gesture_Training--yolov4?style=social"/> : Recognize the gestures' features using the YOLOv4 algorithm.
- lin-tea/YOLOv5DetectionWithCSharp - tea/YOLOv5DetectionWithCSharp?style=social"/> : YOLOv5s inference In C# and Training In Python.
- MirCore/Unity-Object-Detection-and-Localization-with-VR - Object-Detection-and-Localization-with-VR?style=social"/> : Detect and localize objects from the front-facing camera image of a VR Headset in a 3D Scene in Unity using Yolo and Barracuda.
- oujunke/Yolo5Net
- wojciechp6/YOLO-UnityBarracuda - UnityBarracuda?style=social"/> : Object detection app build on Unity Barracuda and YOLOv2 Tiny.
- RaminAbbaszadi/YoloWrapper-WPF - WPF?style=social"/> : WPF (C#) Yolo Darknet Wrapper.
- fengyhack/YoloWpf
- hanzhuang111/Yolov5Wpf
- MaikoKingma/yolo-winforms-test - winforms-test?style=social"/> : A Windows forms application that can execute pre-trained object detection models via ML.NET. In this instance the You Only Look Once version 4 (yolov4) is used.
- SeanAnd/WebcamObjectDetection
- mwetzko/EasyYoloDarknet
- cj-mills/Unity-OpenVINO-YOLOX - mills/Unity-OpenVINO-YOLOX?style=social"/> : This tutorial series covers how to perform object detection in the Unity game engine with the OpenVINO™ Toolkit.
- thisistherealdiana/YOLO_project
- oujunke/Yolo5Net
- fengyhack/YoloWpf
- hanzhuang111/Yolov5Wpf
- MaikoKingma/yolo-winforms-test - winforms-test?style=social"/> : A Windows forms application that can execute pre-trained object detection models via ML.NET. In this instance the You Only Look Once version 4 (yolov4) is used.
- SeanAnd/WebcamObjectDetection
- Soju06/yolov5-annotation-viewer - annotation-viewer?style=social"/> : yolov5 annotation viewer.
- developer-ken/YoloPredictorMLDotNet - ken/YoloPredictorMLDotNet?style=social"/> : YoloPredictorMLDotNet.
- wanglvhang/OnnxYoloDemo
- BobLd/YOLOv3MLNet
- zgabi/Yolo.Net
- aliardan/RoadMarkingDetection
- TimothyMeadows/Yolo5.NetCore
- AD-HO/YOLOv5-ML.NET - HO/YOLOv5-ML.NET?style=social"/> : Inferencing Yolov5 ONNX model using ML.NET and ONNX Runtime.
- rabbitsun2/csharp_and_microsoft_ml_and_yolo_v5_sample
- hsysfan/YOLOv5-Seg-OnnxRuntime - Seg-OnnxRuntime?style=social"/> : YOLOv5 Segmenation Implementation in C# and OnnxRuntime.
- Soju06/yolov5-annotation-viewer - annotation-viewer?style=social"/> : yolov5 annotation viewer.
- developer-ken/YoloPredictorMLDotNet - ken/YoloPredictorMLDotNet?style=social"/> : YoloPredictorMLDotNet.
- wanglvhang/OnnxYoloDemo
- BobLd/YOLOv3MLNet
- zgabi/Yolo.Net
- aliardan/RoadMarkingDetection
- TimothyMeadows/Yolo5.NetCore
- AD-HO/YOLOv5-ML.NET - HO/YOLOv5-ML.NET?style=social"/> : Inferencing Yolov5 ONNX model using ML.NET and ONNX Runtime.
- ToxicSkill/YOLOV7-Webcam-inference - Webcam-inference?style=social"/> : Simple WPF program for webcam inference with yoloV7 models.
- rabbitsun2/csharp_and_microsoft_ml_and_yolo_v5_sample
- hsysfan/YOLOv5-Seg-OnnxRuntime - Seg-OnnxRuntime?style=social"/> : YOLOv5 Segmenation Implementation in C# and OnnxRuntime.
- YunYang1994/tensorflow-yolov3 - yolov3?style=social"/> : 🔥 TensorFlow Code for technical report: "YOLOv3: An Incremental Improvement".
- zzh8829/yolov3-tf2 - tf2?style=social"/> : YoloV3 Implemented in Tensorflow 2.0.
- hunglc007/tensorflow-yolov4-tflite - yolov4-tflite?style=social"/> : YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite.
- gliese581gg/YOLO_tensorflow - Time Object Detection'.
- llSourcell/YOLO_Object_Detection
- theAIGuysCode/yolov4-deepsort - deepsort?style=social"/> : Object tracking implemented with YOLOv4, DeepSort, and TensorFlow.
- mystic123/tensorflow-yolo-v3 - yolo-v3?style=social"/> : Implementation of YOLO v3 object detector in Tensorflow (TF-Slim).
- nilboy/tensorflow-yolo - yolo?style=social"/> : tensorflow implementation of 'YOLO : Real-Time Object Detection'(train and test).
- qqwweee/keras-yolo3 - yolo3?style=social"/> : A Keras implementation of YOLOv3 (Tensorflow backend).
- allanzelener/YAD2K
- experiencor/keras-yolo2 - yolo2?style=social"/> : YOLOv2 in Keras and Applications.
- SpikeKing/keras-yolo3-detection - yolo3-detection?style=social"/> : YOLO v3 物体检测算法。
- xiaochus/YOLOv3
- bubbliiiing/yolo3-keras - keras?style=social"/> : 这是一个yolo3-keras的源码，可以用于训练自己的模型。
- bubbliiiing/yolov4-keras - keras?style=social"/> : 这是一个YoloV4-keras的源码，可以用于训练自己的模型。
- bubbliiiing/yolov4-tf2 - tf2?style=social"/> : 这是一个yolo4-tf2（tensorflow2）的源码，可以用于训练自己的模型。
- bubbliiiing/yolov4-tiny-tf2 - tiny-tf2?style=social"/> : 这是一个YoloV4-tiny-tf2的源码，可以用于训练自己的模型。
- pythonlessons/TensorFlow-2.x-YOLOv3 - 2.x-YOLOv3?style=social"/> : YOLOv3 implementation in TensorFlow 2.3.1.
- miemie2013/Keras-YOLOv4 - YOLOv4?style=social"/> : PPYOLO AND YOLOv4.
- Ma-Dan/keras-yolo4 - Dan/keras-yolo4?style=social"/> : A Keras implementation of YOLOv4 (Tensorflow backend).
- miranthajayatilake/YOLOw-Keras - Keras?style=social"/> : YOLOv2 Object Detection w/ Keras (in just 20 lines of code).
- maiminh1996/YOLOv3-tensorflow - tensorflow?style=social"/> : Re-implement YOLOv3 with TensorFlow.
- YunYang1994/tensorflow-yolov3 - yolov3?style=social"/> : 🔥 TensorFlow Code for technical report: "YOLOv3: An Incremental Improvement".
- zzh8829/yolov3-tf2 - tf2?style=social"/> : YoloV3 Implemented in Tensorflow 2.0.
- hunglc007/tensorflow-yolov4-tflite - yolov4-tflite?style=social"/> : YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite.
- gliese581gg/YOLO_tensorflow - Time Object Detection'.
- llSourcell/YOLO_Object_Detection
- wizyoung/YOLOv3_TensorFlow
- theAIGuysCode/yolov4-deepsort - deepsort?style=social"/> : Object tracking implemented with YOLOv4, DeepSort, and TensorFlow.
- mystic123/tensorflow-yolo-v3 - yolo-v3?style=social"/> : Implementation of YOLO v3 object detector in Tensorflow (TF-Slim).
- hizhangp/yolo_tensorflow
- nilboy/tensorflow-yolo - yolo?style=social"/> : tensorflow implementation of 'YOLO : Real-Time Object Detection'(train and test).
- geekjr/quickai - of-the-art Machine Learning models.
- CV_Lab/yolov5_rt_tfjs
- Burf/TFDetection
- taipingeric/yolo-v4-tf.keras - v4-tf.keras?style=social"/> : A simple tf.keras implementation of YOLO v4.
- david8862/keras-YOLOv3-model-set - YOLOv3-model-set?style=social"/> : end-to-end YOLOv4/v3/v2 object detection pipeline, implemented on tf.keras with different technologies.
- qqwweee/keras-yolo3 - yolo3?style=social"/> : A Keras implementation of YOLOv3 (Tensorflow backend).
- allanzelener/YAD2K
- experiencor/keras-yolo2 - yolo2?style=social"/> : YOLOv2 in Keras and Applications.
- experiencor/keras-yolo3 - yolo3?style=social"/> : Training and Detecting Objects with YOLO3.
- SpikeKing/keras-yolo3-detection - yolo3-detection?style=social"/> : YOLO v3 物体检测算法。
- xiaochus/YOLOv3
- bubbliiiing/yolo3-keras - keras?style=social"/> : 这是一个yolo3-keras的源码，可以用于训练自己的模型。
- bubbliiiing/yolov4-keras - keras?style=social"/> : 这是一个YoloV4-keras的源码，可以用于训练自己的模型。
- bubbliiiing/yolov4-tf2 - tf2?style=social"/> : 这是一个yolo4-tf2（tensorflow2）的源码，可以用于训练自己的模型。
- bubbliiiing/yolov4-tiny-tf2 - tiny-tf2?style=social"/> : 这是一个YoloV4-tiny-tf2的源码，可以用于训练自己的模型。
- pythonlessons/TensorFlow-2.x-YOLOv3 - 2.x-YOLOv3?style=social"/> : YOLOv3 implementation in TensorFlow 2.3.1.
- miemie2013/Keras-YOLOv4 - YOLOv4?style=social"/> : PPYOLO AND YOLOv4.
- Ma-Dan/keras-yolo4 - Dan/keras-yolo4?style=social"/> : A Keras implementation of YOLOv4 (Tensorflow backend).
- miranthajayatilake/YOLOw-Keras - Keras?style=social"/> : YOLOv2 Object Detection w/ Keras (in just 20 lines of code).
- maiminh1996/YOLOv3-tensorflow - tensorflow?style=social"/> : Re-implement YOLOv3 with TensorFlow.
- Stick-To/Object-Detection-Tensorflow - To/Object-Detection-Tensorflow?style=social"/> : Object Detection API Tensorflow.
- avBuffer/Yolov5_tf
- ruiminshen/yolo-tf - tf?style=social"/> : TensorFlow implementation of the YOLO (You Only Look Once).
- xiao9616/yolo4_tensorflow2
- sicara/tf2-yolov4 - yolov4?style=social"/> : A TensorFlow 2.0 implementation of YOLOv4: Optimal Speed and Accuracy of Object Detection.
- geekjr/quickai - of-the-art Machine Learning models.
- CV_Lab/yolov5_rt_tfjs
- Burf/TFDetection
- taipingeric/yolo-v4-tf.keras - v4-tf.keras?style=social"/> : A simple tf.keras implementation of YOLO v4.
- david8862/keras-YOLOv3-model-set - YOLOv3-model-set?style=social"/> : end-to-end YOLOv4/v3/v2 object detection pipeline, implemented on tf.keras with different technologies.
- PaddlePaddle/PaddleDetection - YOLO: An Effective and Efficient Implementation of Object Detector". (**[arXiv 2020](https://arxiv.org/abs/2007.12099)**)
- nemonameless/PaddleDetection_YOLOv5
- nemonameless/PaddleDetection_YOLOX - x, 44.6% on YOLOX-ConvNeXt-s.
- nemonameless/PaddleDetection_YOLOset
- miemie2013/Paddle-YOLOv4 - YOLOv4?style=social"/> : Paddle-YOLOv4.
- ChenYingpeng/caffe-yolov3 - yolov3?style=social"/> : A real-time object detection framework of Yolov3/v4 based on caffe.
- ChenYingpeng/darknet2caffe
- eric612/Caffe-YOLOv3-Windows - YOLOv3-Windows?style=social"/> : A windows caffe implementation of YOLO detection network.
- ruiminshen/yolo-tf - tf?style=social"/> : TensorFlow implementation of the YOLO (You Only Look Once).
- xiao9616/yolo4_tensorflow2
- Stick-To/Object-Detection-Tensorflow - To/Object-Detection-Tensorflow?style=social"/> : Object Detection API Tensorflow.
- avBuffer/Yolov5_tf
- sicara/tf2-yolov4 - yolov4?style=social"/> : A TensorFlow 2.0 implementation of YOLOv4: Optimal Speed and Accuracy of Object Detection.
- PaddlePaddle/PaddleDetection - YOLO: An Effective and Efficient Implementation of Object Detector". (**[arXiv 2020](https://arxiv.org/abs/2007.12099)**)
- nemonameless/PaddleDetection_YOLOv5
- nemonameless/PaddleDetection_YOLOX - x, 44.6% on YOLOX-ConvNeXt-s.
- nemonameless/PaddleDetection_YOLOset
- miemie2013/Paddle-YOLOv4 - YOLOv4?style=social"/> : Paddle-YOLOv4.
- Nioolek/PPYOLOE_pytorch - YOLOE,based on Megvii YOLOX training code.
- shaqian/tfjs-yolo - yolo?style=social"/> : YOLO v3 and Tiny YOLO v1, v2, v3 with Tensorflow.js.
- ChenYingpeng/caffe-yolov3 - yolov3?style=social"/> : A real-time object detection framework of Yolov3/v4 based on caffe.
- ChenYingpeng/darknet2caffe
- eric612/Caffe-YOLOv3-Windows - YOLOv3-Windows?style=social"/> : A windows caffe implementation of YOLO detection network.
- Harick1/caffe-yolo - yolo?style=social"/> : Caffe for YOLO.
- choasup/caffe-yolo9000 - yolo9000?style=social"/> : Caffe for YOLOv2 & YOLO9000.
- gklz1982/caffe-yolov2 - yolov2?style=social"/> : caffe-yolov2.
- Gluon CV Toolkit - cv?style=social"/> : GluonCV provides implementations of the state-of-the-art (SOTA) deep learning models in computer vision.
- zhreshold/mxnet-yolo - yolo?style=social"/> : YOLO: You only look once real-time object detector.
- ModelDepot/tfjs-yolo-tiny - yolo-tiny?style=social"/> : In-Browser Object Detection using Tiny YOLO on Tensorflow.js.
- reu2018DL/YOLO-LITE - LITE?style=social"/> : YOLO-LITE is a web implementation of YOLOv2-tiny.
- mobimeo/node-yolo - yolo?style=social"/> : Node bindings for YOLO/Darknet image recognition library.
- Sharpiless/Yolov5-Flask-VUE - Flask-VUE?style=social"/> : 基于Flask开发后端、VUE开发前端框架，在WEB端部署YOLOv5目标检测模型。
- zqingr/tfjs-yolov3 - yolov3?style=social"/> : A Tensorflow js implementation of YOLOv3 and YOLOv3-tiny.
- bennetthardwick/darknet.js
- nihui/ncnn-webassembly-yolov5 - webassembly-yolov5?style=social"/> : Deploy YOLOv5 in your web browser with ncnn and webassembly.
- muhk01/Yolov5-on-Flask - on-Flask?style=social"/> : Running YOLOv5 through web browser using Flask microframework.
- tcyfree/yolov5
- siffyy/YOLOv5-Web-App-for-Vehicle-Detection - Web-App-for-Vehicle-Detection?style=social"/> : Repo for Web Application for Vehicle detection from Satellite Imagery using YOLOv5 model.
- Hyuto/yolov5-onnxruntime-web - onnxruntime-web?style=social"/> : YOLOv5 right in your browser with onnxruntime-web.
- yang-0201/YOLOv6_pro - 0201/YOLOv6_pro?style=social"/> : Make it easier for yolov6 to change the network structure.
- Gluon CV Toolkit - cv?style=social"/> : GluonCV provides implementations of the state-of-the-art (SOTA) deep learning models in computer vision.
- zhreshold/mxnet-yolo - yolo?style=social"/> : YOLO: You only look once real-time object detector.
- ModelDepot/tfjs-yolo-tiny - yolo-tiny?style=social"/> : In-Browser Object Detection using Tiny YOLO on Tensorflow.js.
- justadudewhohacks/tfjs-tiny-yolov2 - tiny-yolov2?style=social"/> : Tiny YOLO v2 object detection with tensorflow.js.
- reu2018DL/YOLO-LITE - LITE?style=social"/> : YOLO-LITE is a web implementation of YOLOv2-tiny.
- choasup/caffe-yolo9000 - yolo9000?style=social"/> : Caffe for YOLOv2 & YOLO9000.
- gklz1982/caffe-yolov2 - yolov2?style=social"/> : caffe-yolov2.
- mobimeo/node-yolo - yolo?style=social"/> : Node bindings for YOLO/Darknet image recognition library.
- Sharpiless/Yolov5-Flask-VUE - Flask-VUE?style=social"/> : 基于Flask开发后端、VUE开发前端框架，在WEB端部署YOLOv5目标检测模型。
- shaqian/tfjs-yolo - yolo?style=social"/> : YOLO v3 and Tiny YOLO v1, v2, v3 with Tensorflow.js.
- zqingr/tfjs-yolov3 - yolov3?style=social"/> : A Tensorflow js implementation of YOLOv3 and YOLOv3-tiny.
- bennetthardwick/darknet.js
- nihui/ncnn-webassembly-yolov5 - webassembly-yolov5?style=social"/> : Deploy YOLOv5 in your web browser with ncnn and webassembly.
- muhk01/Yolov5-on-Flask - on-Flask?style=social"/> : Running YOLOv5 through web browser using Flask microframework.
- tcyfree/yolov5
- siffyy/YOLOv5-Web-App-for-Vehicle-Detection - Web-App-for-Vehicle-Detection?style=social"/> : Repo for Web Application for Vehicle detection from Satellite Imagery using YOLOv5 model.
- Devmawi/BlazorObjectDetection-Sample - Sample?style=social"/> : A sample for demonstrating online execution of an onnx model by a Blazor app.
- Hyuto/yolov5-onnxruntime-web - onnxruntime-web?style=social"/> : YOLOv5 right in your browser with onnxruntime-web.
- yang-0201/YOLOv6_pro - 0201/YOLOv6_pro?style=social"/> : Make it easier for yolov6 to change the network structure.
- j-marple-dev/AYolov2 - marple-dev/AYolov2?style=social"/> : The main goal of this repository is to rewrite the object detection pipeline with a better code structure for better portability and adaptability to apply new experimental methods. The object detection pipeline is based on [Ultralytics YOLOv5](https://github.com/ultralytics/yolov5).
- fcakyon/yolov5-pip - pip?style=social"/> : Packaged version of ultralytics/yolov5.
- kadirnar/yolov6-pip - pip?style=social"/> : Packaged version of yolov6 model.
- kadirnar/yolov7-pip - pip?style=social"/> : Packaged version of yolov7 model.
- kadirnar/torchyolo
- CvPytorch
- Holocron
- DL-Practise/YoloAll - Practise/YoloAll?style=social"/> : YoloAll is a collection of yolo all versions. you you use YoloAll to test yolov3/yolov5/yolox/yolo_fastest.
- msnh2012/Msnhnet
- j-marple-dev/AYolov2 - marple-dev/AYolov2?style=social"/> : The main goal of this repository is to rewrite the object detection pipeline with a better code structure for better portability and adaptability to apply new experimental methods. The object detection pipeline is based on [Ultralytics YOLOv5](https://github.com/ultralytics/yolov5).
- fcakyon/yolov5-pip - pip?style=social"/> : Packaged version of ultralytics/yolov5.
- kadirnar/yolov6-pip - pip?style=social"/> : Packaged version of yolov6 model.
- kadirnar/yolov7-pip - pip?style=social"/> : Packaged version of yolov7 model.
- kadirnar/torchyolo
- CvPytorch
- Holocron
- DL-Practise/YoloAll - Practise/YoloAll?style=social"/> : YoloAll is a collection of yolo all versions. you you use YoloAll to test yolov3/yolov5/yolox/yolo_fastest.
- msnh2012/Msnhnet
- xinghanliuying/yolov5-trick - trick?style=social"/> : 基于yolov5的改进库。
- BMW-InnovationLab/BMW-YOLOv4-Training-Automation - InnovationLab/BMW-YOLOv4-Training-Automation?style=social"/> : YOLOv4-v3 Training Automation API for Linux.
- AntonMu/TrainYourOwnYOLO - of-the-art yolov3 object detector from scratch!
- DataXujing/YOLOv7
- BMW-InnovationLab/BMW-YOLOv4-Training-Automation - InnovationLab/BMW-YOLOv4-Training-Automation?style=social"/> : YOLOv4-v3 Training Automation API for Linux.
- AntonMu/TrainYourOwnYOLO - of-the-art yolov3 object detector from scratch!
- DataXujing/YOLOv8
- madhawav/YOLO3-4-Py - 4-Py?style=social"/> : A Python wrapper on Darknet. Compatible with YOLO V3.
- theAIGuysCode/yolov4-custom-functions - custom-functions?style=social"/> : A Wide Range of Custom Functions for YOLOv4, YOLOv4-tiny, YOLOv3, and YOLOv3-tiny Implemented in TensorFlow, TFLite, and TensorRT.
- DataXujing/YOLOv6
- DataXujing/YOLOv9
- Code-keys/yolo-darknet - keys/yolo-darknet?style=social"/> : YOLO-family complemented by darknet. yolov5 yolov7 et al ...
- pooya-mohammadi/deep_utils - mohammadi/deep_utils?style=social"/> : A toolkit full of handy functions including most used models and utilities for deep-learning practitioners!
- yl-jiang/YOLOSeries - jiang/YOLOSeries?style=social"/> : YOLO Series.
- yjh0410/FreeYOLO
- open-yolo/yolov7 - yolo/yolov7?style=social"/> : Improved and packaged version of WongKinYiu/yolov7.
- iloveai8086/YOLOC
- madhawav/YOLO3-4-Py - 4-Py?style=social"/> : A Python wrapper on Darknet. Compatible with YOLO V3.
- theAIGuysCode/yolov4-custom-functions - custom-functions?style=social"/> : A Wide Range of Custom Functions for YOLOv4, YOLOv4-tiny, YOLOv3, and YOLOv3-tiny Implemented in TensorFlow, TFLite, and TensorRT.
- tiquasar/FLAITER
- kadirnar/Minimal-Yolov6 - Yolov6?style=social"/> : Minimal-Yolov6.
- DataXujing/YOLOv6
- DataXujing/YOLOv7
- DataXujing/YOLOv8
- DataXujing/YOLOv9
- Code-keys/yolov5-darknet - keys/yolov5-darknet?style=social"/> : yolov5-darknet support yaml && cfg.
- pooya-mohammadi/deep_utils - mohammadi/deep_utils?style=social"/> : A toolkit full of handy functions including most used models and utilities for deep-learning practitioners!
- yl-jiang/YOLOSeries - jiang/YOLOSeries?style=social"/> : YOLO Series.
- yjh0410/FreeYOLO
- open-yolo/yolov7 - yolo/yolov7?style=social"/> : Improved and packaged version of WongKinYiu/yolov7.
- iloveai8086/YOLOC
- isLinXu/YOLOv8_Efficient
- z1069614715/objectdetection_script
- HuKai97/YOLOX-Annotations - Annotations?style=social"/> : 一个YOLOX的中文注释版本，供大家参考学习！
- isLinXu/YOLOv8_Efficient
- z1069614715/objectdetection_script
- wuzhihao7788/yolodet-pytorch - pytorch?style=social"/> : reproduce the YOLO series of papers in pytorch, including YOLOv4, PP-YOLO, YOLOv5，YOLOv3, etc.
- U07157135/ROS2-with-YOLOv5 - with-YOLOv5?style=social"/> : 在無人機上以ROS2技術實現YOLOv5物件偵測。
- Ar-Ray-code/darknet_ros_fp16 - Ray-code/darknet_ros_fp16?style=social"/> : darknet + ROS2 Humble + OpenCV4 + CUDA 11（cuDNN, Jetson Orin）.
- dme-compunet/YOLOv8 - compunet/YOLOv8?style=social"/> : Use YOLOv8 in real-time, for object detection, instance segmentation, pose estimation and image classification, via ONNX Runtime.
- Sharpiless/PaddleDetection-Yolov5 - Yolov5?style=social"/> : 基于Paddlepaddle复现yolov5，支持PaddleDetection接口。
- xinghanliuying/yolov5-trick - trick?style=social"/> : 基于yolov5的改进库。
- HuKai97/YOLOX-Annotations - Annotations?style=social"/> : 一个YOLOX的中文注释版本，供大家参考学习！
- natml-hub/YOLOX - hub/YOLOX?style=social"/> : High performance object detector based on YOLO series.
Star History
- Star History Chart
- Star History Chart
Summary
- YOLOX - BaseDetection/YOLOX?style=social"/> : "YOLOX: Exceeding YOLO Series in 2021". (**[arXiv 2021](https://arxiv.org/abs/2107.08430)**)
- YOLOR
- YOLOS - Abstract.html)**)
- DAMO-YOLO - YOLO?style=social"/> : DAMO-YOLO: a fast and accurate object detection method with some new techs, including NAS backbones, efficient RepGFPN, ZeroHead, AlignedOTA, and distillation enhancement. "DAMO-YOLO : A Report on Real-Time Object Detection Design". (**[arXiv 2022](https://arxiv.org/abs/2211.15444)**)
- DynamicDet
- RT-DETR - time Object Detection". (**[arXiv 2023](https://arxiv.org/abs/2304.08069)**). "微信公众号「集智书童」《[YOLO超快时代终结了 | RT-DETR用114FPS实现54.8AP，远超YOLOv8](https://mp.weixin.qq.com/s/V3MUXinJhpq8J4UWTUL17w)》"。
- Scaled-YOLOv4 - YOLOv4: Scaling Cross Stage Partial Network". (**[CVPR 2021](https://openaccess.thecvf.com/content/CVPR2021/html/Wang_Scaled-YOLOv4_Scaling_Cross_Stage_Partial_Network_CVPR_2021_paper.html)**)
- YOLOv4
- YOLOv5 - source research into future vision AI methods, incorporating lessons learned and best practices evolved over thousands of hours of research and development.
- YOLOX - BaseDetection/YOLOX?style=social"/> : "YOLOX: Exceeding YOLO Series in 2021". (**[arXiv 2021](https://arxiv.org/abs/2107.08430)**)
- YOLOS - Abstract.html)**)
- YOLOR
- YOLOv6 - Stage Object Detection Framework for Industrial Applications". (**[arXiv 2022](https://arxiv.org/abs/2209.02976)**). "微信公众号「美团技术团队」《[YOLOv6：又快又准的目标检测框架开源啦](https://mp.weixin.qq.com/s/RrQCP4pTSwpTmSgvly9evg)》"。"微信公众号「美团技术团队」《[目标检测开源框架YOLOv6全面升级，更快更准的2.0版本来啦](https://mp.weixin.qq.com/s/9FyvWrHErfgJrVXIC_PKqg)》"。"微信公众号「美团技术团队」《[通用目标检测开源框架YOLOv6在美团的量化部署实战 ](https://mp.weixin.qq.com/s/J-3saNkCCAHLjkZQ3VCaeQ)》"。 "微信公众号「集智书童」《[超越YOLOv7 | YOLOv6论文放出，重参+自蒸馏+感知量化+...各种Tricks大放异彩](https://mp.weixin.qq.com/s/DPHC7bO1Q-IKDUqPU7DSJA)》"。"微信公众号「极市平台」《[Repvgg-style ConvNets，硬件友好！详解YOLOv6的高效backbone：EfficientRep](https://mp.weixin.qq.com/s/2Md30QdqgWnWwVR7d4sx1Q)》"。
- HuKai97/yolov5-5.x-annotations - 5.x-annotations?style=social"/> : 一个基于yolov5-5.0的中文注释版本！
- crkk-feng/yolov5-annotations - feng/yolov5-annotations?style=social"/> : A Chinese annotated version of yolov5-5.0.
- XiaoJiNu/yolov5-v6-chinese-comment - v6-chinese-comment?style=social"/> : yolov5-v6版本注释。
- 1131624548/About-YOLOv5-7-0 - v6-chinese-comment?style=social"/> : YOLOv5代码注释。
- DAMO-YOLO - YOLO?style=social"/> : DAMO-YOLO: a fast and accurate object detection method with some new techs, including NAS backbones, efficient RepGFPN, ZeroHead, AlignedOTA, and distillation enhancement. "DAMO-YOLO : A Report on Real-Time Object Detection Design". (**[arXiv 2022](https://arxiv.org/abs/2211.15444)**)
- DynamicDet
- EdgeYOLO - free, edge-friendly. an edge-real-time anchor-free object detector with decent performance. "Edge YOLO: Real-time intelligent object detection system based on edge-cloud cooperation in autonomous vehicles". (**[IEEE Transactions on Intelligent Transportation Systems, 2022](https://ieeexplore.ieee.org/abstract/document/9740044)**). "EdgeYOLO: An Edge-Real-Time Object Detector". (**[arXiv 2023](https://arxiv.org/abs/2302.07483)**)
- RT-DETR - time Object Detection". (**[arXiv 2023](https://arxiv.org/abs/2304.08069)**). "微信公众号「集智书童」《[YOLO超快时代终结了 | RT-DETR用114FPS实现54.8AP，远超YOLOv8](https://mp.weixin.qq.com/s/V3MUXinJhpq8J4UWTUL17w)》"。
- YOLOv9
- LeYOLO
- YOLOv10 - MIG/yolov10?style=social"/> : "YOLOv10: Real-Time End-to-End Object Detection". (**[arXiv 2024](https://arxiv.org/abs/2405.14458v1)**)
- srebroa/awesome-yolo - yolo?style=social"/> : 🚀 ⭐ The list of the most popular YOLO algorithms - awesome YOLO.
- Bubble-water/YOLO-Summary - water/YOLO-Summary?style=social"/> : YOLO-Summary.
- WZMIAOMIAO/deep-learning-for-image-processing - learning-for-image-processing?style=social"/> : deep learning for image processing including classification and object-detection etc.
- hoya012/deep_learning_object_detection
- amusi/awesome-object-detection - object-detection?style=social"/> : Awesome Object Detection.
- 52CV/CV-Surveys - Surveys?style=social"/> : 计算机视觉相关综述。包括目标检测、跟踪........
- Procedia Computer Science 2022
- YOLO-NAS - AI/super-gradients?style=social"/> : Easily train or fine-tune SOTA computer vision models with one open source training library. The home of [Yolo-NAS](https://github.com/Deci-AI/super-gradients/blob/master/YOLONAS.md). [www.supergradients.com](https://www.supergradients.com/). YOLO-NAS: A Next-Generation, Object Detection Foundational Model generated by Deci’s Neural Architecture Search Technology. Deci is thrilled to announce the release of a new object detection model, YOLO-NAS - a game-changer in the world of object detection, providing superior real-time object detection capabilities and production-ready performance. Deci's mission is to provide AI teams with tools to remove development barriers and attain efficient inference performance more quickly. The new YOLO-NAS delivers state-of-the-art (SOTA) performance with the unparalleled accuracy-speed performance, outperforming other models such as YOLOv5, YOLOv6, YOLOv7 and YOLOv8.
- YOLO-World - CVC/YOLO-World?style=social"/> : "YOLO-World: Real-Time Open-Vocabulary Object Detection". (**[CVPR 2024](https://arxiv.org/abs/2401.17270)**). [www.yoloworld.cc](https://www.yoloworld.cc/)
- YOLOv9
- YOLOv10 - MIG/yolov10?style=social"/> : "YOLOv10: Real-Time End-to-End Object Detection". (**[arXiv 2024](https://arxiv.org/abs/2405.14458v1)**)
- Bubble-water/YOLO-Summary - water/YOLO-Summary?style=social"/> : YOLO-Summary.
- WZMIAOMIAO/deep-learning-for-image-processing - learning-for-image-processing?style=social"/> : deep learning for image processing including classification and object-detection etc.
- hoya012/deep_learning_object_detection
- amusi/awesome-object-detection - object-detection?style=social"/> : Awesome Object Detection.
- 52CV/CV-Surveys - Surveys?style=social"/> : 计算机视觉相关综述。包括目标检测、跟踪........
- Procedia Computer Science 2022
- MMDetection - mmlab/mmdetection?style=social"/> : OpenMMLab Detection Toolbox and Benchmark. [mmdetection.readthedocs.io](https://mmdetection.readthedocs.io/en/latest/). (**[arXiv 2019](https://arxiv.org/abs/1906.07155)**)
- MMYOLO - mmlab/mmyolo?style=social"/> : OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8, YOLOX, PPYOLOE, etc. [mmyolo.readthedocs.io/zh_CN/dev/](https://mmyolo.readthedocs.io/zh_CN/dev/)
- iscyy/ultralyticsPro - DETR、YOLOv7、YOLOv5改进模型，Support to improve backbone, neck, head, loss, IoU, NMS and other modules🚀
- iscyy/yoloair2
- jizhishutong/YOLOU - Lite、YOLOv6-v1、YOLOv6-v2、YOLOv7、YOLOX、YOLOX-Lite、PP-YOLOE、PP-PicoDet-Plus、YOLO-Fastest v2、FastestDet、YOLOv5-SPD、TensorRT、NCNN、Tengine、OpenVINO. "微信公众号「集智书童」《[YOLOU开源 | 汇集YOLO系列所有算法，集算法学习、科研改进、落地于一身！](https://mp.weixin.qq.com/s/clupheQ8iHnhR4FJcTtB8A)》"
- MMDetection - mmlab/mmdetection?style=social"/> : OpenMMLab Detection Toolbox and Benchmark. [mmdetection.readthedocs.io](https://mmdetection.readthedocs.io/en/latest/). (**[arXiv 2019](https://arxiv.org/abs/1906.07155)**)
- iscyy/ultralyticsPro - YOLOv8 🚀 RT-DETR 🥇 in PyTorch >, Support to improve backbone, neck, head, loss, IoU, NMS and other modules🚀
- iscyy/yoloair2 - YOLOv7... Support to improve Backbone, Neck, Head, Loss, IoU, NMS and other modules.
- jizhishutong/YOLOU - Lite、YOLOv6-v1、YOLOv6-v2、YOLOv7、YOLOX、YOLOX-Lite、PP-YOLOE、PP-PicoDet-Plus、YOLO-Fastest v2、FastestDet、YOLOv5-SPD、TensorRT、NCNN、Tengine、OpenVINO. "微信公众号「集智书童」《[YOLOU开源 | 汇集YOLO系列所有算法，集算法学习、科研改进、落地于一身！](https://mp.weixin.qq.com/s/clupheQ8iHnhR4FJcTtB8A)》"
- positive666/yolo_research - level. based on yolo-high-level project (detect\pose\classify\segment\):include yolov5\yolov7\yolov8\ core ,improvement research ,SwintransformV2 and Attention Series. training skills, business customization, engineering deployment.
- augmentedstartups/AS-One - One?style=social"/> : Easy & Modular Computer Vision Detectors and Trackers - Run YOLO-NAS,v8,v7,v6,v5,R,X in under 20 lines of code. [www.augmentedstartups.com](https://www.augmentedstartups.com/)
- Oneflow-Inc/one-yolov5 - Inc/one-yolov5?style=social"/> : A more efficient yolov5 with oneflow backend 🎉🎉🎉. "微信公众号「GiantPandaCV」《[One-YOLOv5 发布，一个训得更快的YOLOv5](https://mp.weixin.qq.com/s/tZ7swUd0biz7G3CiRkHHfw)》"
- PaddlePaddle/PaddleYOLO - YOLOE+, YOLOv5, YOLOv6, YOLOv7, YOLOv8, YOLOX, YOLOv5u, YOLOv7u, RTMDet and so on. 🚀🚀🚀
- WangRongsheng/BestYOLO
- KangChou/Cver4s
- chaizwj/yolov8-tricks - tricks?style=social"/> : 目标检测，采用yolov8作为基准模型，数据集采用VisDrone2019，带有自己的改进策略。
- zjhellofss/KuiperInfer - performance deep learning inference library step by step。
- positive666/yolo_research - level. based on yolo-high-level project (detect\pose\classify\segment\):include yolov5\yolov7\yolov8\ core ,improvement research ,SwintransformV2 and Attention Series. training skills, business customization, engineering deployment.
- augmentedstartups/AS-One - One?style=social"/> : Easy & Modular Computer Vision Detectors and Trackers - Run YOLO-NAS,v8,v7,v6,v5,R,X in under 20 lines of code. [www.augmentedstartups.com](https://www.augmentedstartups.com/)
- Oneflow-Inc/one-yolov5 - Inc/one-yolov5?style=social"/> : A more efficient yolov5 with oneflow backend 🎉🎉🎉. "微信公众号「GiantPandaCV」《[One-YOLOv5 发布，一个训得更快的YOLOv5](https://mp.weixin.qq.com/s/tZ7swUd0biz7G3CiRkHHfw)》"
- PaddlePaddle/PaddleYOLO - YOLOE+, YOLOv5, YOLOv6, YOLOv7, YOLOv8, YOLOX, YOLOv5u, YOLOv7u, RTMDet and so on. 🚀🚀🚀
- WangRongsheng/BestYOLO
- KangChou/Cver4s
- chaizwj/yolov8-tricks - tricks?style=social"/> : 目标检测，采用yolov8作为基准模型，数据集采用VisDrone2019，带有自己的改进策略。
- KuiperInfer (自制深度学习推理框架) - performance deep learning inference library step by step.
- zjhellofss/kuiperdatawhale
- roboflow/notebooks - school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM. [roboflow.com/models](https://roboflow.com/models)
- kuiperdatawhale
- roboflow/notebooks - school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM. [roboflow.com/models](https://roboflow.com/models)
- HuKai97/yolov5-5.x-annotations - 5.x-annotations?style=social"/> : 一个基于yolov5-5.0的中文注释版本！
- crkk-feng/yolov5-annotations - feng/yolov5-annotations?style=social"/> : A Chinese annotated version of yolov5-5.0.
- XiaoJiNu/yolov5-v6-chinese-comment - v6-chinese-comment?style=social"/> : yolov5-v6版本注释。
- 1131624548/About-YOLOv5-7-0 - v6-chinese-comment?style=social"/> : YOLOv5代码注释。
- YOLOF - model/YOLOF?style=social"/> : "You Only Look One-level Feature". (**[CVPR 2021](https://openaccess.thecvf.com/content/CVPR2021/html/Chen_You_Only_Look_One-Level_Feature_CVPR_2021_paper.html)**). "微信公众号「计算机视觉研究院」《[CVPR目标检测新框架：不再是YOLO，而是只需要一层特征（干货满满，建议收藏）](https://mp.weixin.qq.com/s/5sTxdjhKIPpQ-rCsWfe80A)》"。
- YOLOv6 - Stage Object Detection Framework for Industrial Applications". (**[arXiv 2022](https://arxiv.org/abs/2209.02976)**). "微信公众号「美团技术团队」《[YOLOv6：又快又准的目标检测框架开源啦](https://mp.weixin.qq.com/s/RrQCP4pTSwpTmSgvly9evg)》"。"微信公众号「美团技术团队」《[目标检测开源框架YOLOv6全面升级，更快更准的2.0版本来啦](https://mp.weixin.qq.com/s/9FyvWrHErfgJrVXIC_PKqg)》"。"微信公众号「美团技术团队」《[通用目标检测开源框架YOLOv6在美团的量化部署实战 ](https://mp.weixin.qq.com/s/J-3saNkCCAHLjkZQ3VCaeQ)》"。 "微信公众号「集智书童」《[超越YOLOv7 | YOLOv6论文放出，重参+自蒸馏+感知量化+...各种Tricks大放异彩](https://mp.weixin.qq.com/s/DPHC7bO1Q-IKDUqPU7DSJA)》"。"微信公众号「极市平台」《[Repvgg-style ConvNets，硬件友好！详解YOLOv6的高效backbone：EfficientRep](https://mp.weixin.qq.com/s/2Md30QdqgWnWwVR7d4sx1Q)》"。
- YOLOv7 - of-freebies sets new state-of-the-art for real-time object detectors". (**[CVPR 2023](https://arxiv.org/abs/2207.02696)**). "微信公众号「CVer」《[CVPR 2023 | YOLOv7强势收录！时隔6年，YOLOv系列再登CVPR！](https://mp.weixin.qq.com/s/HjaszZYPLoV03Z4Rw9KiCg)》"。
- YOLO-NAS - AI/super-gradients?style=social"/> : Easily train or fine-tune SOTA computer vision models with one open source training library. The home of [Yolo-NAS](https://github.com/Deci-AI/super-gradients/blob/master/YOLONAS.md). [www.supergradients.com](https://www.supergradients.com/). YOLO-NAS: A Next-Generation, Object Detection Foundational Model generated by Deci’s Neural Architecture Search Technology. Deci is thrilled to announce the release of a new object detection model, YOLO-NAS - a game-changer in the world of object detection, providing superior real-time object detection capabilities and production-ready performance. Deci's mission is to provide AI teams with tools to remove development barriers and attain efficient inference performance more quickly. The new YOLO-NAS delivers state-of-the-art (SOTA) performance with the unparalleled accuracy-speed performance, outperforming other models such as YOLOv5, YOLOv6, YOLOv7 and YOLOv8.
- GreenTeaHua/YOLO-Review - Review?style=social"/> : "A Review of YOLO Object Detection Based on Deep Learning". "基于深度学习的YOLO目标检测综述". (**[Journal of Electronics & Information Technology 2022](https://jeit.ac.cn/cn/article/doi/10.11999/JEIT210790)**)
- iscyy/yoloair
- YOLOv11 - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite. [Ultralytics](https://www.ultralytics.com/) [YOLOv11](https://github.com/ultralytics/ultralytics) s a cutting-edge, state-of-the-art (SOTA) model that builds upon the success of previous YOLO versions and introduces new features and improvements to further boost performance and flexibility. YOLO11 is designed to be fast, accurate, and easy to use, making it an excellent choice for a wide range of object detection and tracking, instance segmentation, image classification and pose estimation tasks. [docs.ultralytics.com](https://docs.ultralytics.com/)
- YOLOv8 - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite. [docs.ultralytics.com](https://docs.ultralytics.com/)
- wenhwu/awesome-remote-sensing-change-detection - remote-sensing-change-detection?style=social"/> : List of datasets, codes, and contests related to remote sensing change detection.
- ZHOUYI1023/awesome-radar-perception - radar-perception?style=social"/> : A curated list of radar datasets, detection, tracking and fusion.
- lartpang/awesome-segmentation-saliency-dataset - segmentation-saliency-dataset?style=social"/> : A collection of some datasets for segmentation / saliency detection. Welcome to PR...😄
- TianhaoFu/Awesome-3D-Object-Detection - 3D-Object-Detection?style=social"/> : Papers, code and datasets about deep learning for 3D Object Detection.
- xahidbuffon/Awesome_Underwater_Datasets - scale underwater datasets and relevant resources.
- M-3LAB/awesome-industrial-anomaly-detection - 3LAB/awesome-industrial-anomaly-detection?style=social"/> : Paper list and datasets for industrial image anomaly detection.
- ari-dasci/OD-WeaponDetection - dasci/OD-WeaponDetection?style=social"/> : Datasets for weapon detection based on image classification and object detection tasks.
- DLLXW/objectDetectionDatasets
- zjhellofss/KuiperLLama
- RT-DETR|RT-DETRv2 - DETR?style=social"/> : "DETRs Beat YOLOs on Real-time Object Detection". (**[CVPR 2024](https://arxiv.org/abs/2304.08069)**). "RT-DETRv2: Improved Baseline with Bag-of-Freebies for Real-Time Detection Transformer". (**[arXiv 2024](https://arxiv.org/abs/2407.17140)**).
- MultimediaTechLab/YOLO - RD. Welcome to the official implementation of YOLOv7 and YOLOv9, YOLO-RD. This repository will contains the complete codebase, pre-trained models, and detailed instructions for training and deploying YOLOv9.
Applications
- YOLO-World - CVC/YOLO-World?style=social"/> : "YOLO-World: Real-Time Open-Vocabulary Object Detection". (**[CVPR 2024](https://arxiv.org/abs/2401.17270)**). [www.yoloworld.cc](https://www.yoloworld.cc/)
- zyds/yolov5-code - code?style=social"/> : 手把手带你实战 YOLOv5。
- StreamYOLO - yjr/StreamYOLO?style=social"/> : "Real-time Object Detection for Streaming Perception". (**[CVPR 2022](https://arxiv.org/abs/2203.12338v1)**)
- REPP - and-efficient-post-processing-for-video-object-detection?style=social"/> : "Robust and efficient post-processing for video object detection". (**[IROS 2020](https://ieeexplore.ieee.org/abstract/document/9341600)**)
- NoScope - futuredata/noscope?style=social"/> : "Noscope: optimizing neural network queries over video at scale". (**[arXiv 2017](https://arxiv.org/abs/1703.02529)**)
- sujanshresstha/YOLOv10_DeepSORT
- YOLOV
- StreamYOLO - yjr/StreamYOLO?style=social"/> : "Real-time Object Detection for Streaming Perception". (**[CVPR 2022](https://arxiv.org/abs/2203.12338v1)**)
- REPP - and-efficient-post-processing-for-video-object-detection?style=social"/> : "Robust and efficient post-processing for video object detection". (**[IROS 2020](https://ieeexplore.ieee.org/abstract/document/9341600)**)
- NoScope - futuredata/noscope?style=social"/> : "Noscope: optimizing neural network queries over video at scale". (**[arXiv 2017](https://arxiv.org/abs/1703.02529)**)
- sujanshresstha/YOLOv10_DeepSORT
- RizwanMunawar/yolov8-object-tracking - object-tracking?style=social"/> : YOLOv8 Object Tracking Using PyTorch, OpenCV and Ultralytics.
- xuarehere/yolo_series_deepsort_pytorch
- RizwanMunawar/yolov8-object-tracking - object-tracking?style=social"/> : YOLOv8 Object Tracking Using PyTorch, OpenCV and Ultralytics.
- xuarehere/yolo_series_deepsort_pytorch
- StrongSORT
- UAVMOT - Object Tracking Meets Moving UAV". (**[CVPR 2022](https://openaccess.thecvf.com/content/CVPR2022/html/Liu_Multi-Object_Tracking_Meets_Moving_UAV_CVPR_2022_paper.html)**)
- HKPolyU-UAV/AUTO - UAV/AUTO?style=social"/> : "Dynamic Object Tracking on Autonomous UAV System for Surveillance Applications". (**[Sensors 2021](https://www.mdpi.com/1424-8220/21/23/7888)**)
- kadirnar/yolov5-strongsort - strongsort?style=social"/> : Minimal PyTorch implementation of YOLOv5 and [StrongSORT](https://github.com/dyhBUPT/StrongSORT).
- Qidian213/deep_sort_yolov3 - time Multi-person tracker using YOLO v3 and deep_sort with tensorflow.
- CSTrack - Object Tracking". (**[arXiv 2020](https://arxiv.org/abs/2010.12138)**)
- ROLO
- FastMOT - Performance Multiple Object Tracking Based on Deep SORT and KLT". (**[Zenodo 2020](https://doi.org/10.5281/zenodo.4294717)**)
- StrongSORT
- UAVMOT - Object Tracking Meets Moving UAV". (**[CVPR 2022](https://openaccess.thecvf.com/content/CVPR2022/html/Liu_Multi-Object_Tracking_Meets_Moving_UAV_CVPR_2022_paper.html)**)
- HKPolyU-UAV/AUTO - UAV/AUTO?style=social"/> : "Dynamic Object Tracking on Autonomous UAV System for Surveillance Applications". (**[Sensors 2021](https://www.mdpi.com/1424-8220/21/23/7888)**)
- JackWoo0831/Yolov7-tracker - tracker?style=social"/> : Yolo v7 and several Multi-Object Tracker(SORT, DeepSORT, ByteTrack, BoT-SORT, etc.) in VisDrone2019 Dataset. It uses a unified style and integrated tracker for easy embedding in your own projects. YOLOv7 + 各种tracker实现多目标跟踪。
- BoT-SORT - SORT?style=social"/> : "BoT-SORT: Robust Associations Multi-Pedestrian Tracking". (**[arXiv 2022](https://arxiv.org/abs/2206.14651)**)
- bharath5673/StrongSORT-YOLO - YOLO?style=social"/> : Real-time multi-camera multi-object tracker using (YOLOv5, YOLOv7) and [StrongSORT](https://github.com/dyhBUPT/StrongSORT) with OSNet.
- kadirnar/yolov5-strongsort - strongsort?style=social"/> : Minimal PyTorch implementation of YOLOv5 and [StrongSORT](https://github.com/dyhBUPT/StrongSORT).
- ZQPei/deep_sort_pytorch
- Qidian213/deep_sort_yolov3 - time Multi-person tracker using YOLO v3 and deep_sort with tensorflow.
- CSTrack - Object Tracking". (**[arXiv 2020](https://arxiv.org/abs/2010.12138)**)
- ROLO
- FastMOT - Performance Multiple Object Tracking Based on Deep SORT and KLT". (**[Zenodo 2020](https://doi.org/10.5281/zenodo.4294717)**)
- Sharpiless/Yolov5-Deepsort - Deepsort?style=social"/> : 最新版本yolov5+deepsort目标检测和追踪，能够显示目标类别，支持5.0版本可训练自己数据集。
- LeonLok/Multi-Camera-Live-Object-Tracking - Camera-Live-Object-Tracking?style=social"/> : Multi-camera live traffic and object counting with YOLO v4, Deep SORT, and Flask.
- LeonLok/Deep-SORT-YOLOv4 - SORT-YOLOv4?style=social"/> : People detection and optional tracking with Tensorflow backend.
- obendidi/Tracking-with-darkflow - with-darkflow?style=social"/> : Real-time people Multitracker using YOLO v2 and deep_sort with tensorflow.
- DrewNF/Tensorflow_Object_Tracking_Video
- dyh/unbox_yolov5_deepsort_counting
- theAIGuysCode/yolov3_deepsort
- weixu000/libtorch-yolov3-deepsort - yolov3-deepsort?style=social"/> : libtorch-yolov3-deepsort.
- pmj110119/YOLOX_deepsort_tracker - tracking.
- abhyantrika/nanonets_object_tracking
- Sharpiless/Yolov5-Deepsort - Deepsort?style=social"/> : 最新版本yolov5+deepsort目标检测和追踪，能够显示目标类别，支持5.0版本可训练自己数据集。
- LeonLok/Multi-Camera-Live-Object-Tracking - Camera-Live-Object-Tracking?style=social"/> : Multi-camera live traffic and object counting with YOLO v4, Deep SORT, and Flask.
- LeonLok/Deep-SORT-YOLOv4 - SORT-YOLOv4?style=social"/> : People detection and optional tracking with Tensorflow backend.
- obendidi/Tracking-with-darkflow - with-darkflow?style=social"/> : Real-time people Multitracker using YOLO v2 and deep_sort with tensorflow.
- DrewNF/Tensorflow_Object_Tracking_Video
- dyh/unbox_yolov5_deepsort_counting
- theAIGuysCode/yolov3_deepsort
- weixu000/libtorch-yolov3-deepsort - yolov3-deepsort?style=social"/> : libtorch-yolov3-deepsort.
- pmj110119/YOLOX_deepsort_tracker - tracking.
- abhyantrika/nanonets_object_tracking
- rohanchandra30/TrackNPred - to-End Trajectory Prediction.
- RichardoMrMu/yolov5-deepsort-tensorrt - deepsort-tensorrt?style=social"/> : A c++ implementation of yolov5 and deepsort.
- bamwani/car-counting-and-speed-estimation-yolo-sort-python - counting-and-speed-estimation-yolo-sort-python?style=social"/> : This project imlements the following tasks in the project: 1. Vehicle counting, 2. Lane detection. 3.Lane change detection and 4.speed estimation.
- ArtLabss/tennis-tracking - tracking?style=social"/> : Open-source Monocular Python HawkEye for Tennis.
- CaptainEven/YOLOV4_MCMOT
- opendatacam/node-moving-things-tracker - moving-things-tracker?style=social"/> : javascript implementation of "tracker by detections" for realtime multiple object tracking (MOT).
- lanmengyiyu/yolov5-deepmar - deepmar?style=social"/> : 行人轨迹和属性分析。
- zengwb-lx/Yolov5-Deepsort-Fastreid - lx/Yolov5-Deepsort-Fastreid?style=social"/> : YoloV5 + deepsort + Fast-ReID 完整行人重识别系统。
- tensorturtle/classy-sort-yolov5 - sort-yolov5?style=social"/> : Ready-to-use realtime multi-object tracker that works for any object category. YOLOv5 + SORT implementation.
- supperted825/FairMOT-X - X?style=social"/> : FairMOT for Multi-Class MOT using YOLOX as Detector.
- deyiwang89/pytorch-yolov7-deepsort - yolov7-deepsort?style=social"/> : an implentation of yolov7-deepsort based on pytorch.
- mattzheng/keras-yolov3-KF-objectTracking - yolov3-KF-objectTracking?style=social"/> : 以kears-yolov3做detector，以Kalman-Filter算法做tracker，进行多人物目标追踪。
- rohanchandra30/TrackNPred - to-End Trajectory Prediction.
- RichardoMrMu/yolov5-deepsort-tensorrt - deepsort-tensorrt?style=social"/> : A c++ implementation of yolov5 and deepsort.
- bamwani/car-counting-and-speed-estimation-yolo-sort-python - counting-and-speed-estimation-yolo-sort-python?style=social"/> : This project imlements the following tasks in the project: 1. Vehicle counting, 2. Lane detection. 3.Lane change detection and 4.speed estimation.
- ArtLabss/tennis-tracking - tracking?style=social"/> : Open-source Monocular Python HawkEye for Tennis.
- CaptainEven/YOLOV4_MCMOT
- opendatacam/node-moving-things-tracker - moving-things-tracker?style=social"/> : javascript implementation of "tracker by detections" for realtime multiple object tracking (MOT).
- lanmengyiyu/yolov5-deepmar - deepmar?style=social"/> : 行人轨迹和属性分析。
- zengwb-lx/Yolov5-Deepsort-Fastreid - lx/Yolov5-Deepsort-Fastreid?style=social"/> : YoloV5 + deepsort + Fast-ReID 完整行人重识别系统。
- supperted825/FairMOT-X - X?style=social"/> : FairMOT for Multi-Class MOT using YOLOX as Detector.
- deyiwang89/pytorch-yolov7-deepsort - yolov7-deepsort?style=social"/> : an implentation of yolov7-deepsort based on pytorch.
- deshwalmahesh/yolov7-deepsort-tracking - deepsort-tracking?style=social"/> : Modular and ready to deploy code to detect and track videos using YOLO-v7 and DeepSORT.
- RizwanMunawar/yolov7-object-tracking - object-tracking?style=social"/> : YOLOv7 Object Tracking Using PyTorch, OpenCV and Sort Tracking.
- RizwanMunawar/yolov5-object-tracking - object-tracking?style=social"/> : YOLOv5 Object Tracking + Detection + Object Blurring + Streamlit Dashboard Using OpenCV, PyTorch and Streamlit.
- Smorodov/Multitarget-tracker - tracker?style=social"/> : Multiple Object Tracker, Based on Hungarian algorithm + Kalman filter.
- MuhammadMoinFaisal/YOLOv8-DeepSORT-Object-Tracking - DeepSORT-Object-Tracking?style=social"/> : YOLOv8 Object Tracking using PyTorch, OpenCV and DeepSORT.
- sujanshresstha/YOLO-NAS_DeepSORT - NAS_DeepSORT?style=social"/> : This repository contains code for object tracking in videos using the YOLO-NAS object detection model and the DeepSORT algorithm.
- uzkent/EfficientObjectDetection
- LeBronLiHD/ZJU2021_MotionControl_PID_YOLOv5
- SananSuleymanov/PID_YOLOv5s_ROS_Diver_Tracking
- sumght-z/apex_yolov5 - z/apex_yolov5?style=social"/> : something by yolov5 and PID.
- Fireboltz/Psychic-CCTV - CCTV?style=social"/> : A video analysis tool built completely in python.
- deshwalmahesh/yolov7-deepsort-tracking - deepsort-tracking?style=social"/> : Modular and ready to deploy code to detect and track videos using YOLO-v7 and DeepSORT.
- RizwanMunawar/yolov7-object-tracking - object-tracking?style=social"/> : YOLOv7 Object Tracking Using PyTorch, OpenCV and Sort Tracking.
- RizwanMunawar/yolov5-object-tracking - object-tracking?style=social"/> : YOLOv5 Object Tracking + Detection + Object Blurring + Streamlit Dashboard Using OpenCV, PyTorch and Streamlit.
- Smorodov/Multitarget-tracker - tracker?style=social"/> : Multiple Object Tracker, Based on Hungarian algorithm + Kalman filter.
- Naughty-Galileo/YoloV5_MCMOT - Galileo/YoloV5_MCMOT?style=social"/> : 多类别多目标跟踪YoloV5+sort/deepsort/bytetrack/BotSort/motdt.
- MuhammadMoinFaisal/YOLOv8-DeepSORT-Object-Tracking - DeepSORT-Object-Tracking?style=social"/> : YOLOv8 Object Tracking using PyTorch, OpenCV and DeepSORT.
- sujanshresstha/YOLO-NAS_DeepSORT - NAS_DeepSORT?style=social"/> : This repository contains code for object tracking in videos using the YOLO-NAS object detection model and the DeepSORT algorithm.
- uzkent/EfficientObjectDetection
- icns-distributed-cloud/adaptive-cruise-control - distributed-cloud/adaptive-cruise-control?style=social"/> : YOLO-v5 기반 "단안 카메라"의 영상을 활용해 차간 거리를 일정하게 유지하며 주행하는 Adaptive Cruise Control 기능 구현.
- SananSuleymanov/PID_YOLOv5s_ROS_Diver_Tracking
- sumght-z/apex_yolov5 - z/apex_yolov5?style=social"/> : something by yolov5 and PID.
- Fireboltz/Psychic-CCTV - CCTV?style=social"/> : A video analysis tool built completely in python.
- SpikeYOLO - Valued Training and Spike-Driven Inference Spiking Neural Network for High-performance and Energy-efficient Object Detection" (**[ECCV 2024 Oral](https://arxiv.org/abs/2407.20708)**)
- EMS-YOLO - YOLO?style=social"/> : Offical implementation of "Deep Directly-Trained Spiking Neural Networks for Object Detection" (**[ICCV 2023](https://openaccess.thecvf.com/content/ICCV2023/html/Su_Deep_Directly-Trained_Spiking_Neural_Networks_for_Object_Detection_ICCV_2023_paper.html)**)
- Attention-SNN - SNN?style=social"/> : Offical implementation of "Attention Spiking Neural Networks" (**[IEEE TPAMI 2023](https://ieeexplore.ieee.org/abstract/document/10032591)**)
- Spike-Driven-Transformer - Driven-Transformer?style=social"/> : Offical implementation of "Spike-driven Transformer" (**[NeurIPS 2023](https://openreview.net/forum?id=9FmolyOHi5)**)
- Spike-Driven-Transformer-V2 - Driven-Transformer-V2?style=social"/> : Offical implementation of "Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips" (**[ICLR 2024](https://openreview.net/forum?id=1SIBN5Xyw7)**)
- SpikeYOLO - Valued Training and Spike-Driven Inference Spiking Neural Network for High-performance and Energy-efficient Object Detection" (**[ECCV 2024 Oral](https://arxiv.org/abs/2407.20708)**)
- EMS-YOLO - YOLO?style=social"/> : Offical implementation of "Deep Directly-Trained Spiking Neural Networks for Object Detection" (**[ICCV 2023](https://openaccess.thecvf.com/content/ICCV2023/html/Su_Deep_Directly-Trained_Spiking_Neural_Networks_for_Object_Detection_ICCV_2023_paper.html)**)
- Attention-SNN - SNN?style=social"/> : Offical implementation of "Attention Spiking Neural Networks" (**[IEEE TPAMI 2023](https://ieeexplore.ieee.org/abstract/document/10032591)**)
- Spike-Driven-Transformer - Driven-Transformer?style=social"/> : Offical implementation of "Spike-driven Transformer" (**[NeurIPS 2023](https://openreview.net/forum?id=9FmolyOHi5)**)
- Spike-Driven-Transformer-V2 - Driven-Transformer-V2?style=social"/> : Offical implementation of "Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips" (**[ICLR 2024](https://openreview.net/forum?id=1SIBN5Xyw7)**)
- Spiking-YOLOv3 - Spiking-YOLOv3?style=social"/> : A PyTorch implementation of Spiking-YOLOv3. Two branches are provided, based on two common PyTorch implementation of YOLOv3([ultralytics/yolov3](https://github.com/ultralytics/yolov3) & [eriklindernoren/PyTorch-YOLOv3](https://github.com/eriklindernoren/PyTorch-YOLOv3)), with support for Spiking-YOLOv3-Tiny at present. (**[AAAI 2020](https://ojs.aaai.org/index.php/AAAI/article/view/6787)**)
- fjcu-ee-islab/Spiking_Converted_YOLOv4 - ee-islab/Spiking_Converted_YOLOv4?style=social"/> : Object Detection Based on Dynamic Vision Sensor with Spiking Neural Network.
- Zaabon/spiking_yolo
- Dignity-ghost/PyTorch-Spiking-YOLOv3 - ghost/PyTorch-Spiking-YOLOv3?style=social"/> : A modified repository based on [Spiking-YOLOv3](https://github.com/cwq159/PyTorch-Spiking-YOLOv3) and [YOLOv3](https://pjreddie.com/darknet/yolo), which makes it suitable for VOC-dataset and YOLOv2.
- MenghaoGuo/Awesome-Vision-Attentions - Vision-Attentions?style=social"/> : Summary of related papers on visual attention. Related code will be released based on Jittor gradually. "Attention Mechanisms in Computer Vision: A Survey". (**[arXiv 2021](https://arxiv.org/abs/2111.07624)**)
- pprp/awesome-attention-mechanism-in-cv - attention-mechanism-in-cv?style=social"/> : 👊 CV中常用注意力模块;即插即用模块;ViT模型. PyTorch Implementation Collection of Attention Module and Plug&Play Module.
- AbSViT - Down Visual Attention from Analysis by Synthesis". (**[CVPR 2023](https://arxiv.org/abs/2303.13043)**). "微信公众号「人工智能前沿讲习」《[【源头活水】CVPR 2023 | AbSViT：拥有自上而下注意力机制的视觉Transformer](https://mp.weixin.qq.com/s/FtVd37tOXMfu92eDSvdvbg)》"。 "微信公众号「极市平台」《[CVPR23 Highlight｜拥有top-down attention能力的vision transformer](https://mp.weixin.qq.com/s/UMA3Vk9L71zUEtNkCshYBg)》"。
- Spiking-YOLOv3 - Spiking-YOLOv3?style=social"/> : A PyTorch implementation of Spiking-YOLOv3. Two branches are provided, based on two common PyTorch implementation of YOLOv3([ultralytics/yolov3](https://github.com/ultralytics/yolov3) & [eriklindernoren/PyTorch-YOLOv3](https://github.com/eriklindernoren/PyTorch-YOLOv3)), with support for Spiking-YOLOv3-Tiny at present. (**[AAAI 2020](https://ojs.aaai.org/index.php/AAAI/article/view/6787)**)
- fjcu-ee-islab/Spiking_Converted_YOLOv4 - ee-islab/Spiking_Converted_YOLOv4?style=social"/> : Object Detection Based on Dynamic Vision Sensor with Spiking Neural Network.
- Zaabon/spiking_yolo
- Dignity-ghost/PyTorch-Spiking-YOLOv3 - ghost/PyTorch-Spiking-YOLOv3?style=social"/> : A modified repository based on [Spiking-YOLOv3](https://github.com/cwq159/PyTorch-Spiking-YOLOv3) and [YOLOv3](https://pjreddie.com/darknet/yolo), which makes it suitable for VOC-dataset and YOLOv2.
- xmu-xiaoma666/External-Attention-pytorch - xiaoma666/External-Attention-pytorch?style=social"/> : 🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐.
- MenghaoGuo/Awesome-Vision-Attentions - Vision-Attentions?style=social"/> : Summary of related papers on visual attention. Related code will be released based on Jittor gradually. "Attention Mechanisms in Computer Vision: A Survey". (**[arXiv 2021](https://arxiv.org/abs/2111.07624)**)
- pprp/awesome-attention-mechanism-in-cv - attention-mechanism-in-cv?style=social"/> : 👊 CV中常用注意力模块;即插即用模块;ViT模型. PyTorch Implementation Collection of Attention Module and Plug&Play Module.
- AbSViT - Down Visual Attention from Analysis by Synthesis". (**[CVPR 2023](https://arxiv.org/abs/2303.13043)**). "微信公众号「人工智能前沿讲习」《[【源头活水】CVPR 2023 | AbSViT：拥有自上而下注意力机制的视觉Transformer](https://mp.weixin.qq.com/s/FtVd37tOXMfu92eDSvdvbg)》"。 "微信公众号「极市平台」《[CVPR23 Highlight｜拥有top-down attention能力的vision transformer](https://mp.weixin.qq.com/s/UMA3Vk9L71zUEtNkCshYBg)》"。
- HaloTrouvaille/YOLO-Multi-Backbones-Attention - Multi-Backbones-Attention?style=social"/> : This Repository includes YOLOv3 with some lightweight backbones (ShuffleNetV2, GhostNet, VoVNet), some computer vision attention mechanism (SE Block, CBAM Block, ECA Block), pruning,quantization and distillation for GhostNet.
- GuanRunwei/MAN-and-CAT - and-CAT?style=social"/> : "MAN and CAT: mix attention to nn and concatenate attention to YOLO". (**[ The Journal of Supercomputing, 2022](https://link.springer.com/article/10.1007/s11227-022-04726-7)**)
- liangzhendong123/Attention-yolov5 - yolov5?style=social"/> : 基于注意力机制改进的yolov5模型。
- e96031413/AA-YOLO - YOLO?style=social"/> : Attention ALL-CNN Twin Head YOLO (AA -YOLO). "Improving Tiny YOLO with Fewer Model Parameters". (**[IEEE BigMM 2021](https://ieeexplore.ieee.org/abstract/document/9643269/)**)
- kuanhungchen/awesome-tiny-object-detection - tiny-object-detection?style=social"/> : 🕶 A curated list of Tiny Object Detection papers and related resources.
- anonymoussss/YOLOX-SwinTransformer - SwinTransformer?style=social"/> : YOLOX with Swin-Transformer backbone.
- Koldim2001/YOLO-Patch-Based-Inference - Patch-Based-Inference?style=social"/> : Python library for YOLO small object detection and instance segmentation. This Python library simplifies SAHI-like inference for instance segmentation tasks, enabling the detection of small objects in images. It caters to both object detection and instance segmentation tasks, supporting a wide range of Ultralytics models.
- anonymoussss/YOLOX-SwinTransformer - SwinTransformer?style=social"/> : YOLOX with Swin-Transformer backbone.
- HaloTrouvaille/YOLO-Multi-Backbones-Attention - Multi-Backbones-Attention?style=social"/> : This Repository includes YOLOv3 with some lightweight backbones (ShuffleNetV2, GhostNet, VoVNet), some computer vision attention mechanism (SE Block, CBAM Block, ECA Block), pruning,quantization and distillation for GhostNet.
- kay-cottage/CoordAttention_YOLOX_Pytorch - cottage/CoordAttention_YOLOX_Pytorch?style=social"/> : CoordAttention_YOLOX(基于CoordAttention坐标注意力机制的改进版YOLOX目标检测平台）。 "Coordinate Attention for Efficient Mobile Network Design". (**[CVPR 2021](https://openaccess.thecvf.com/content/CVPR2021/html/Hou_Coordinate_Attention_for_Efficient_Mobile_Network_Design_CVPR_2021_paper.html), [ Andrew-Qibin/CoordAttention](https://github.com/Andrew-Qibin/CoordAttention)**)
- GuanRunwei/MAN-and-CAT - and-CAT?style=social"/> : "MAN and CAT: mix attention to nn and concatenate attention to YOLO". (**[ The Journal of Supercomputing, 2022](https://link.springer.com/article/10.1007/s11227-022-04726-7)**)
- kuanhungchen/awesome-tiny-object-detection - tiny-object-detection?style=social"/> : 🕶 A curated list of Tiny Object Detection papers and related resources.
- Koldim2001/YOLO-Patch-Based-Inference - Patch-Based-Inference?style=social"/> : Python library for YOLO small object detection and instance segmentation. This Python library simplifies SAHI-like inference for instance segmentation tasks, enabling the detection of small objects in images. It caters to both object detection and instance segmentation tasks, supporting a wide range of Ultralytics models.
- SAHI - tuning for Small Object Detection". (**[arXiv 2022](https://arxiv.org/abs/2202.06934v2), [Zenodo 2021](https://doi.org/10.5281/zenodo.5718950)**). A lightweight vision library for performing large scale object detection/ instance segmentation. SAHI currently supports [YOLOv5 models](https://github.com/ultralytics/yolov5/releases), [MMDetection models](https://github.com/open-mmlab/mmdetection/blob/master/docs/en/model_zoo.md), [Detectron2 models](https://github.com/facebookresearch/detectron2/blob/main/MODEL_ZOO.md), [HuggingFace models](https://huggingface.co/models?pipeline_tag=object-detection&sort=downloads) and [TorchVision models](https://pytorch.org/docs/stable/torchvision/models.html).
- Slim-neck by GSConv - neck-by-gsconv?style=social"/> : "Slim-neck by GSConv: A better design paradigm of detector architectures for autonomous vehicles". (**[arXiv 2022](https://arxiv.org/abs/2206.02424)**)
- hustvl/TinyDet - 021-3504-4)**)
- QueryDet - PyTorch?style=social"/> : "QueryDet: Cascaded Sparse Query for Accelerating High-Resolution Small Object Detection". (**[CVPR 2022](https://openaccess.thecvf.com/content/CVPR2022/html/Yang_QueryDet_Cascaded_Sparse_Query_for_Accelerating_High-Resolution_Small_Object_Detection_CVPR_2022_paper.html)**)
- YOLT - Scale Object Detection In Satellite Imagery". (**[arXiv 2018](https://arxiv.org/abs/1805.09512)**). "微信公众号「江大白」《[基于大尺寸图像的小目标检测竞赛经验总结](https://mp.weixin.qq.com/s?__biz=Mzg5NzgyNTU2Mg==&mid=2247498265&idx=1&sn=1eee95f8f4d09d761dc7b94f4ac55c34&source=41#wechat_redirect)》"
- SIMRDWN
- YOLTv5
- TPH-YOLOv5 - yolov5?style=social"/> : "TPH-YOLOv5: Improved YOLOv5 Based on Transformer Prediction Head for Object Detection on Drone-Captured Scenarios". (**[ICCV 2021](https://openaccess.thecvf.com/content/ICCV2021W/VisDrone/html/Zhu_TPH-YOLOv5_Improved_YOLOv5_Based_on_Transformer_Prediction_Head_for_Object_ICCVW_2021_paper.html)**)
- mwaseema/Drone-Detection - Detection?style=social"/> : "Dogfight: Detecting Drones from Drones Videos". (**[CVPR 2021](https://openaccess.thecvf.com/content/CVPR2021/html/Ashraf_Dogfight_Detecting_Drones_From_Drones_Videos_CVPR_2021_paper.html)**)
- CEASA - a4Wz04jLHFiAU88pUyDNQ)》"
- KevinMuyaoGuo/yolov5s_for_satellite_imagery
- Hongyu-Yue/yoloV5_modify_smalltarget - Yue/yoloV5_modify_smalltarget?style=social"/> : YOLOV5 小目标检测修改版。
- SAHI - tuning for Small Object Detection". (**[arXiv 2022](https://arxiv.org/abs/2202.06934v2), [Zenodo 2021](https://doi.org/10.5281/zenodo.5718950)**). A lightweight vision library for performing large scale object detection/ instance segmentation. SAHI currently supports [YOLOv5 models](https://github.com/ultralytics/yolov5/releases), [MMDetection models](https://github.com/open-mmlab/mmdetection/blob/master/docs/en/model_zoo.md), [Detectron2 models](https://github.com/facebookresearch/detectron2/blob/main/MODEL_ZOO.md), [HuggingFace models](https://huggingface.co/models?pipeline_tag=object-detection&sort=downloads) and [TorchVision models](https://pytorch.org/docs/stable/torchvision/models.html).
- Slim-neck by GSConv - neck-by-gsconv?style=social"/> : "Slim-neck by GSConv: A better design paradigm of detector architectures for autonomous vehicles". (**[arXiv 2022](https://arxiv.org/abs/2206.02424)**)
- hustvl/TinyDet - 021-3504-4)**)
- zRzRzRzRzRzRzR/Mult-YOLO-alogorithm-of-RoboMaster-Radar-Detection-2023 - YOLO-alogorithm-of-RoboMaster-Radar-Detection-2023?style=social"/> : 2023年西交利物浦大学动云科技GMaster战队雷达yolo小目标检测。
- quantumxiaol/yolov8-small-target-detection - small-target-detection?style=social"/> : 基于yolov8实现小目标检测，在NWPU VHR-10和DOTA上测试。
- shaunyuan22/SODA - scale Benchmark for Small Object Detection. "Towards Large-Scale Small Object Detection: Survey and Benchmarks". (**[arXiv 2022](https://arxiv.org/abs/2207.14096)**)
- RFLA - Tsui/mmdet-rfla?style=social"/> : "RFLA: Gaussian Receptive Field based Label Assignment for Tiny Object Detection". (**[ECCV 2022](https://arxiv.org/abs/2208.08738)**). "微信公众号「CV技术指南」《[ECCV 2022 | RFLA：基于高斯感受野的微小目标检测标签分配](https://mp.weixin.qq.com/s/h0J775I3D6zoTIeaJRnFgQ)》"
- YOLT - Scale Object Detection In Satellite Imagery". (**[arXiv 2018](https://arxiv.org/abs/1805.09512)**). "微信公众号「江大白」《[基于大尺寸图像的小目标检测竞赛经验总结](https://mp.weixin.qq.com/s?__biz=Mzg5NzgyNTU2Mg==&mid=2247498265&idx=1&sn=1eee95f8f4d09d761dc7b94f4ac55c34&source=41#wechat_redirect)》"
- SIMRDWN
- YOLTv5
- mwaseema/Drone-Detection - Detection?style=social"/> : "Dogfight: Detecting Drones from Drones Videos". (**[CVPR 2021](https://openaccess.thecvf.com/content/CVPR2021/html/Ashraf_Dogfight_Detecting_Drones_From_Drones_Videos_CVPR_2021_paper.html)**)
- KevinMuyaoGuo/yolov5s_for_satellite_imagery
- Hongyu-Yue/yoloV5_modify_smalltarget - Yue/yoloV5_modify_smalltarget?style=social"/> : YOLOV5 小目标检测修改版。
- swricci/small-boat-detector - boat-detector?style=social"/> : Trained yolo v3 model weights and configuration file to detect small boats in satellite imagery.
- Resham-Sundar/sahi-yolox - Sundar/sahi-yolox?style=social"/> : YoloX with SAHI Implementation.
- arXiv 2021 - Z：改进的YOLOv5用于小目标检测（附原论文下载）](https://mp.weixin.qq.com/s/ehkUapLOMdDghF2kAoAV4w)》".
- arXiv 2023
- kadirnar/yolov5-sahi - sahi?style=social"/> : Yolov5 Modelini Kullanarak Özel Nesne Eğitimi ve SAHI Kullanımı.
- kadirnar/Yolov6-SAHI - SAHI?style=social"/> : Yolov6-SAHI.
- bingykang/Fewshot_Detection - shot Object Detection via Feature Reweighting". (**[ICCV 2019](https://openaccess.thecvf.com/content_ICCV_2019/html/Kang_Few-Shot_Object_Detection_via_Feature_Reweighting_ICCV_2019_paper.html)**).
- SSDA-YOLO - YOLO?style=social"/> : Codes for my paper "SSDA-YOLO: Semi-supervised Domain Adaptive YOLO for Cross-Domain Object Detection". (**[Computer Vision and Image Understanding, 2023](https://www.sciencedirect.com/science/article/abs/pii/S1077314223000292)**).
- OneTeacher - to-end Semi-supervised Learning for One-stage Object Detection". (**[arXiv 2023](https://arxiv.org/abs/2302.11299)**).
- Efficient Teacher - Supervised Object Detection for YOLOv5". (**[arXiv 2023](https://arxiv.org/abs/2302.07577)**).
- UniDetector
- buxihuo/OW-YOLO - YOLO?style=social"/> : Detect known and unknown objects in the open world（具有区分已知与未知能力的全新检测器））.
- AlphaRotate
- hukaixuan19970627/yolov5_obb
- muyuuuu/Self-Supervise-Object-Detection - Supervise-Object-Detection?style=social"/> : Self-Supervised Object Detection. 水面漂浮垃圾目标检测，分析源码改善 yolox 检测小目标的缺陷，提出自监督算法预训练无标签数据，提升检测性能。
- Resham-Sundar/sahi-yolox - Sundar/sahi-yolox?style=social"/> : YoloX with SAHI Implementation.
- arXiv 2021 - Z：改进的YOLOv5用于小目标检测（附原论文下载）](https://mp.weixin.qq.com/s/ehkUapLOMdDghF2kAoAV4w)》".
- arXiv 2023
- ultralytics/xview-yolov3 - yolov3?style=social"/> : xView 2018 Object Detection Challenge: YOLOv3 Training and Inference.
- inderpreet1390/yolov5-small-target - small-target?style=social"/> : Repository for improved yolov5 for small target detection.
- zRzRzRzRzRzRzR/Mult-YOLO-alogorithm-of-RoboMaster-Radar-Detection-2023 - YOLO-alogorithm-of-RoboMaster-Radar-Detection-2023?style=social"/> : 2023年西交利物浦大学动云科技GMaster战队雷达yolo小目标检测。
- AllenSquirrel/YOLOv3_ReSAM
- kadirnar/yolov5-sahi - sahi?style=social"/> : Yolov5 Modelini Kullanarak Özel Nesne Eğitimi ve SAHI Kullanımı.
- quantumxiaol/yolov8-small-target-detection - small-target-detection?style=social"/> : 基于yolov8实现小目标检测，在NWPU VHR-10和DOTA上测试。
- kadirnar/Yolov6-SAHI - SAHI?style=social"/> : Yolov6-SAHI.
- shaunyuan22/SODA - scale Benchmark for Small Object Detection. "Towards Large-Scale Small Object Detection: Survey and Benchmarks". (**[arXiv 2022](https://arxiv.org/abs/2207.14096)**)
- bingykang/Fewshot_Detection - shot Object Detection via Feature Reweighting". (**[ICCV 2019](https://openaccess.thecvf.com/content_ICCV_2019/html/Kang_Few-Shot_Object_Detection_via_Feature_Reweighting_ICCV_2019_paper.html)**).
- SSDA-YOLO - YOLO?style=social"/> : Codes for my paper "SSDA-YOLO: Semi-supervised Domain Adaptive YOLO for Cross-Domain Object Detection". (**[Computer Vision and Image Understanding, 2023](https://www.sciencedirect.com/science/article/abs/pii/S1077314223000292)**).
- zehengl/yyc-traffic-cam - traffic-cam?style=social"/> : A demo to detect vehicles in traffic cam. [zehengl.github.io/yyc-traffic-cam/](https://zehengl.github.io/yyc-traffic-cam/)
- ruhyadi/vehicle-detection-yolov8 - detection-yolov8?style=social"/> : Vehicle Detection with YOLOv8.
- alitourani/yolo-license-plate-detection - license-plate-detection?style=social"/> : A License-Plate detecttion application based on YOLO.
- HuKai97/YOLOv5-LPRNet-Licence-Recognition - LPRNet-Licence-Recognition?style=social"/> : 使用YOLOv5和LPRNet进行车牌检测+识别（CCPD数据集）。
- xialuxi/yolov5-car-plate - car-plate?style=social"/> : 基于yolov5的车牌检测，包含车牌角点检测。
- kyrielw24/License_Plate_Recognition
- we0091234/yolov7_plate
- MuhammadMoinFaisal/Automatic_Number_Plate_Detection_Recognition_YOLOv8
- YOLOP
- YOLOPv2 - AD/YOLOPv2?style=social"/> : "YOLOPv2: Better, Faster, Stronger for Panoptic Driving Perception". (**[arXiv 2022](https://arxiv.org/abs/2208.11434)**). "微信公众号「集智书童」《[YOLOP v2来啦 | YOLOv7结合YOLOP的多任务版本，超越YOLOP以及HybridNets](https://mp.weixin.qq.com/s/XTD32JCu_YbZjV2Br3KXCA)》"
- FeiGeChuanShu/YOLOPv2-ncnn - ncnn?style=social"/> : YOLOPv2-ncnn.
- visualbuffer/copilot
- OneTeacher - to-end Semi-supervised Learning for One-stage Object Detection". (**[arXiv 2023](https://arxiv.org/abs/2302.11299)**).
- Efficient Teacher - Supervised Object Detection for YOLOv5". (**[arXiv 2023](https://arxiv.org/abs/2302.07577)**).
- UniDetector
- buxihuo/OW-YOLO - YOLO?style=social"/> : Detect known and unknown objects in the open world（具有区分已知与未知能力的全新检测器））.
- AlphaRotate
- hukaixuan19970627/yolov5_obb
- BossZard/rotation-yolov5 - yolov5?style=social"/> : rotation detection based on yolov5.
- acai66/yolov5_rotation
- ming71/rotate-yolov3 - yolov3?style=social"/> : Arbitrary oriented object detection implemented with yolov3 (attached with some tricks).
- ming71/yolov3-polygon - polygon?style=social"/> : Arbitrary-oriented object detection based on yolov3.
- BossZard/rotation-yolov5 - yolov5?style=social"/> : rotation detection based on yolov5.
- acai66/yolov5_rotation
- ming71/rotate-yolov3 - yolov3?style=social"/> : Arbitrary oriented object detection implemented with yolov3 (attached with some tricks).
- ming71/yolov3-polygon - polygon?style=social"/> : Arbitrary-oriented object detection based on yolov3.
- XinzeLee/PolygonObjectDetection
- hukaixuan19970627/DOTA_devkit_YOLO
- hpc203/rotate-yolov5-opencv-onnxrun - yolov5-opencv-onnxrun?style=social"/> : 分别使用OpenCV、ONNXRuntime部署yolov5旋转目标检测，包含C++和Python两个版本的程序。
- DDGRCF/YOLOX_OBB - - YOLOX 旋转框 | 实例分割。 "知乎「刀刀狗」《[YOLOX OBB -- YOLOX 旋转框检测超详细！！！](https://zhuanlan.zhihu.com/p/430850089)》"。
- YOLO5Face - cn/yolov5-face?style=social"/> : "YOLO5Face: Why Reinventing a Face Detector". (**[arXiv 2021](https://arxiv.org/abs/2105.12931)**)
- derronqi/yolov7-face - face?style=social"/> : yolov7 face detection with landmark.
- derronqi/yolov8-face - face?style=social"/> : yolov8 face detection with landmark.
- we0091234/yolov7-face-tensorrt - face-tensorrt?style=social"/> : yolov7-face TensorRT.
- YOLO-FaceV2 - Yu/YOLO-FaceV2?style=social"/> : "YOLO-FaceV2: A Scale and Occlusion Aware Face Detector ". (**[arXiv 2022](https://arxiv.org/abs/2208.02019)**). "微信公众号「江大白」《[超越Yolo5-Face，Yolo-Facev2开源，各类Trick优化，值得学习！](https://mp.weixin.qq.com/s?__biz=Mzg5NzgyNTU2Mg==&mid=2247498561&idx=1&sn=b7ff0592644ab6bc5b716e07294e1c0a&source=41#wechat_redirect)》"
- OAID/TengineKit - Free, Fast, Easy, Real-Time Face Detection & Face Landmarks & Face Attributes & Hand Detection & Hand Landmarks & Body Detection & Body Landmarks & Iris Landmarks & Yolov5 SDK On Mobile.
- xialuxi/yolov5_face_landmark
- sthanhng/yoloface - based Face detection using the YOLOv3 algorithm.
- XinzeLee/PolygonObjectDetection
- hpc203/rotate-yolov5-opencv-onnxrun - yolov5-opencv-onnxrun?style=social"/> : 分别使用OpenCV、ONNXRuntime部署yolov5旋转目标检测，包含C++和Python两个版本的程序。
- hpc203/rotateyolov5-opencv-onnxrun - opencv-onnxrun?style=social"/> : 分别使用OpenCV，ONNXRuntime部署yolov5旋转目标检测，包含C++和Python两个版本的程序。
- DDGRCF/YOLOX_OBB - - YOLOX 旋转框 | 实例分割。 "知乎「刀刀狗」《[YOLOX OBB -- YOLOX 旋转框检测超详细！！！](https://zhuanlan.zhihu.com/p/430850089)》"。
- YOLO5Face - cn/yolov5-face?style=social"/> : "YOLO5Face: Why Reinventing a Face Detector". (**[arXiv 2021](https://arxiv.org/abs/2105.12931)**)
- derronqi/yolov7-face - face?style=social"/> : yolov7 face detection with landmark.
- derronqi/yolov8-face - face?style=social"/> : yolov8 face detection with landmark.
- we0091234/yolov7-face-tensorrt - face-tensorrt?style=social"/> : yolov7-face TensorRT.
- YOLO-FaceV2 - Yu/YOLO-FaceV2?style=social"/> : "YOLO-FaceV2: A Scale and Occlusion Aware Face Detector ". (**[arXiv 2022](https://arxiv.org/abs/2208.02019)**). "微信公众号「江大白」《[超越Yolo5-Face，Yolo-Facev2开源，各类Trick优化，值得学习！](https://mp.weixin.qq.com/s?__biz=Mzg5NzgyNTU2Mg==&mid=2247498561&idx=1&sn=b7ff0592644ab6bc5b716e07294e1c0a&source=41#wechat_redirect)》"
- abars/YoloKerasFaceDetection
- OAID/TengineKit - Free, Fast, Easy, Real-Time Face Detection & Face Landmarks & Face Attributes & Hand Detection & Hand Landmarks & Body Detection & Body Landmarks & Iris Landmarks & Yolov5 SDK On Mobile.
- sthanhng/yoloface - based Face detection using the YOLOv3 algorithm.
- DayBreak-u/yolo-face-with-landmark - u/yolo-face-with-landmark?style=social"/> : yoloface大礼包使用pytroch实现的基于yolov3的轻量级人脸检测（包含关键点）。
- dannyblueliu/YOLO-Face-detection - Face-detection?style=social"/> : Face detection based on YOLO darknet.
- wmylxmj/YOLO-V3-IOU - V3-IOU?style=social"/> : YOLO3 动漫人脸检测 (Based on keras and tensorflow) 2019-1-19.
- pranoyr/head-detection-using-yolo - detection-using-yolo?style=social"/> : Detection of head using YOLO.
- grapeot/AnimeHeadDetector
- Chenyang-ZHU/YOLOv3-Based-Face-Detection-Tracking - ZHU/YOLOv3-Based-Face-Detection-Tracking?style=social"/> : This is a robot project for television live. System will tracking the host's face, making the face in the middle of the screen.
- zdfb/Yolov5_face
- Yusepp/YOLOv8-Face - Face?style=social"/> : YOLOv8 for Face Detection.
- ChanChiChoi/awesome-Face_Recognition - Face_Recognition?style=social"/> : papers about Face Detection; Face Alignment; Face Recognition && Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution && Face Deblurring; Face Generation && Face Synthesis; Face Transfer; Face Anti-Spoofing; Face Retrieval.
- DayBreak-u/yolo-face-with-landmark - u/yolo-face-with-landmark?style=social"/> : yoloface大礼包使用pytroch实现的基于yolov3的轻量级人脸检测（包含关键点）。
- abars/YoloKerasFaceDetection
- dannyblueliu/YOLO-Face-detection - Face-detection?style=social"/> : Face detection based on YOLO darknet.
- wmylxmj/YOLO-V3-IOU - V3-IOU?style=social"/> : YOLO3 动漫人脸检测 (Based on keras and tensorflow) 2019-1-19.
- pranoyr/head-detection-using-yolo - detection-using-yolo?style=social"/> : Detection of head using YOLO.
- grapeot/AnimeHeadDetector
- Chenyang-ZHU/YOLOv3-Based-Face-Detection-Tracking - ZHU/YOLOv3-Based-Face-Detection-Tracking?style=social"/> : This is a robot project for television live. System will tracking the host's face, making the face in the middle of the screen.
- zdfb/Yolov5_face
- Yusepp/YOLOv8-Face - Face?style=social"/> : YOLOv8 for Face Detection.
- ChanChiChoi/awesome-Face_Recognition - Face_Recognition?style=social"/> : papers about Face Detection; Face Alignment; Face Recognition && Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution && Face Deblurring; Face Generation && Face Synthesis; Face Transfer; Face Anti-Spoofing; Face Retrieval.
- ooooxianyu/yoloV5-arcface_forlearn - arcface_forlearn?style=social"/> : 简单拼接一些源码，实现的人脸识别项目。可供学习参考。具体使用到：yolov5人脸检测、arcface人脸识别。
- zhouyuchong/face-recognition-deepstream - recognition-deepstream?style=social"/> : Deepstream app use YOLO, retinaface and arcface for face recognition.
- duckzhao/face_detection_and_recognition_yolov5
- PhucNDA/FaceID--YOLOV5.ArcFace - -YOLOV5.ArcFace?style=social"/> : ONNX implementation of YOLOv5 and Siamese Network (ResNet100) with ArcFace loss for Face Detection and Recognition.
- Bil369/MaskDetect-YOLOv4-PyTorch - YOLOv4-PyTorch?style=social"/> : 基于PyTorch&YOLOv4实现的口罩佩戴检测 ⭐ 自建口罩数据集分享。
- adityap27/face-mask-detector - mask-detector?style=social"/> : 𝐑𝐞𝐚𝐥-𝐓𝐢𝐦𝐞 𝐅𝐚𝐜𝐞 𝐦𝐚𝐬𝐤 𝐝𝐞𝐭𝐞𝐜𝐭𝐢𝐨𝐧 𝐮𝐬𝐢𝐧𝐠 𝐝𝐞𝐞𝐩𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐰𝐢𝐭𝐡 𝐀𝐥𝐞𝐫𝐭 𝐬𝐲𝐬𝐭𝐞𝐦 💻🔔.
- VictorLin000/YOLOv3_mask_detect
- hpc203/10kinds-light-face-detector-align-recognition - light-face-detector-align-recognition?style=social"/> : 10种轻量级人脸检测算法的比拼，其中还包含人脸关键点检测与对齐，人脸特征向量提取和计算距离相似度。
- ooooxianyu/yoloV5-arcface_forlearn - arcface_forlearn?style=social"/> : 简单拼接一些源码，实现的人脸识别项目。可供学习参考。具体使用到：yolov5人脸检测、arcface人脸识别。
- zhouyuchong/face-recognition-deepstream - recognition-deepstream?style=social"/> : Deepstream app use YOLO, retinaface and arcface for face recognition.
- duckzhao/face_detection_and_recognition_yolov5
- PhucNDA/FaceID--YOLOV5.ArcFace - -YOLOV5.ArcFace?style=social"/> : ONNX implementation of YOLOv5 and Siamese Network (ResNet100) with ArcFace loss for Face Detection and Recognition.
- NisargPethani/FACE-MASK-DETECTION-USING-YOLO-V3 - MASK-DETECTION-USING-YOLO-V3?style=social"/> : FACE-MASK DETECTION.
- Bil369/MaskDetect-YOLOv4-PyTorch - YOLOv4-PyTorch?style=social"/> : 基于PyTorch&YOLOv4实现的口罩佩戴检测 ⭐ 自建口罩数据集分享。
- adityap27/face-mask-detector - mask-detector?style=social"/> : 𝐑𝐞𝐚𝐥-𝐓𝐢𝐦𝐞 𝐅𝐚𝐜𝐞 𝐦𝐚𝐬𝐤 𝐝𝐞𝐭𝐞𝐜𝐭𝐢𝐨𝐧 𝐮𝐬𝐢𝐧𝐠 𝐝𝐞𝐞𝐩𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐰𝐢𝐭𝐡 𝐀𝐥𝐞𝐫𝐭 𝐬𝐲𝐬𝐭𝐞𝐦 💻🔔.
- VictorLin000/YOLOv3_mask_detect
- amh28/IBM-Data-Science-Capstone-Alejandra-Marquez - Data-Science-Capstone-Alejandra-Marquez?style=social"/> : Homemade face mask detector fine-tuning a Yolo-v3 network.
- LorenRd/JetsonYolov4 - Nvidia Jetson Nano.
- Backl1ght/yolov4_face_mask_detection
- pritul2/yolov5_FaceMask
- waittim/mask-detector - detector?style=social"/> : Real-time video streaming mask detection based on Python. Designed to defeat COVID-19.
- xinghanliuying/yolov5_bus
- song-laogou/yolov5-mask-42 - 提供教学视频。
- Ank-Cha/Social-Distancing-Analyser-COVID-19 - Cha/Social-Distancing-Analyser-COVID-19?style=social"/> : Social Distancing Analyser to prevent COVID19.
- abd-shoumik/Social-distance-detection - shoumik/Social-distance-detection?style=social"/> : Social distance detection, a deep learning computer vision project with yolo object detection.
- amh28/IBM-Data-Science-Capstone-Alejandra-Marquez - Data-Science-Capstone-Alejandra-Marquez?style=social"/> : Homemade face mask detector fine-tuning a Yolo-v3 network.
- LorenRd/JetsonYolov4 - Nvidia Jetson Nano.
- Backl1ght/yolov4_face_mask_detection
- pritul2/yolov5_FaceMask
- NisargPethani/FACE-MASK-DETECTION-USING-YOLO-V3 - MASK-DETECTION-USING-YOLO-V3?style=social"/> : FACE-MASK DETECTION.
- waittim/mask-detector - detector?style=social"/> : Real-time video streaming mask detection based on Python. Designed to defeat COVID-19.
- xinghanliuying/yolov5_bus
- song-laogou/yolov5-mask-42 - 提供教学视频。
- Ank-Cha/Social-Distancing-Analyser-COVID-19 - Cha/Social-Distancing-Analyser-COVID-19?style=social"/> : Social Distancing Analyser to prevent COVID19.
- abd-shoumik/Social-distance-detection - shoumik/Social-distance-detection?style=social"/> : Social distance detection, a deep learning computer vision project with yolo object detection.
- ChargedMonk/Social-Distancing-using-YOLOv5 - Distancing-using-YOLOv5?style=social"/> : Classifying people as high risk and low risk based on their distance to other people.
- JohnBetaCode/Social-Distancing-Analyser - Distancing-Analyser?style=social"/> : Social Distancing Analyzer.
- jason-li-831202/Vehicle-CV-ADAS - li-831202/Vehicle-CV-ADAS?style=social"/> : The project can achieve FCWS, LDWS, and LKAS functions solely using only visual sensors. using YOLOv5 / YOLOv5-lite / YOLOv6 / YOLOv7 / YOLOv8 / YOLOv9 / EfficientDet and Ultra-Fast-Lane-Detection-v2.
- williamhyin/yolov5s_bdd100k
- Gaussian_YOLOv3
- streamlit/demo-self-driving - self-driving?style=social"/> : Streamlit app demonstrating an image browser for the Udacity self-driving-car dataset with realtime object detection using YOLO.
- ChargedMonk/Social-Distancing-using-YOLOv5 - Distancing-using-YOLOv5?style=social"/> : Classifying people as high risk and low risk based on their distance to other people.
- JohnBetaCode/Social-Distancing-Analyser - Distancing-Analyser?style=social"/> : Social Distancing Analyzer.
- Ashamaria/Safe-distance-tracker-using-YOLOv3-v3 - distance-tracker-using-YOLOv3-v3?style=social"/> : Safe Distance Tracker.
- jason-li-831202/Vehicle-CV-ADAS - li-831202/Vehicle-CV-ADAS?style=social"/> : The project can achieve FCWS, LDWS, and LKAS functions solely using only visual sensors. using YOLOv5 / YOLOv5-lite / YOLOv6 / YOLOv7 / YOLOv8 / YOLOv9 / EfficientDet and Ultra-Fast-Lane-Detection-v2.
- williamhyin/yolov5s_bdd100k
- Gaussian_YOLOv3
- streamlit/demo-self-driving - self-driving?style=social"/> : Streamlit app demonstrating an image browser for the Udacity self-driving-car dataset with realtime object detection using YOLO.
- JunshengFu/vehicle-detection - detection?style=social"/> : Created vehicle detection pipeline with two approaches: (1) deep neural networks (YOLO framework) and (2) support vector machines ( OpenCV + HOG).
- xslittlegrass/CarND-Vehicle-Detection - Vehicle-Detection?style=social"/> : Vehicle detection using YOLO in Keras runs at 21FPS.
- subodh-malgonde/vehicle-detection - malgonde/vehicle-detection?style=social"/> : Detect vehicles in a video.
- JunshengFu/vehicle-detection - detection?style=social"/> : Created vehicle detection pipeline with two approaches: (1) deep neural networks (YOLO framework) and (2) support vector machines ( OpenCV + HOG).
- xslittlegrass/CarND-Vehicle-Detection - Vehicle-Detection?style=social"/> : Vehicle detection using YOLO in Keras runs at 21FPS.
- Kevinnan-teen/Intelligent-Traffic-Based-On-CV - teen/Intelligent-Traffic-Based-On-CV?style=social"/> : 基于计算机视觉的交通路口智能监控系统。
- subodh-malgonde/vehicle-detection - malgonde/vehicle-detection?style=social"/> : Detect vehicles in a video.
- CaptainEven/Vehicle-Car-detection-and-multilabel-classification - Car-detection-and-multilabel-classification?style=social"/> : 使用YOLO_v3_tiny和B-CNN实现街头车辆的检测和车辆属性的多标签识别 Using yolo_v3_tiny to do vehicle or car detection and attribute's multilabel classification or recognize。
- kaylode/vehicle-counting - counting?style=social"/> : Vehicle counting using Pytorch.
- MaryamBoneh/Vehicle-Detection - Detection?style=social"/> : Vehicle Detection Using Deep Learning and YOLO Algorithm.
- JeffWang0325/Image-Identification-for-Self-Driving-Cars - Identification-for-Self-Driving-Cars?style=social"/> : This project achieves some functions of image identification for Self-Driving Cars.
- Daheer/Driving-Environment-Detector - Environment-Detector?style=social"/> : Detecting road objects using YOLO CNN Architecture.
- kaylode/vehicle-counting - counting?style=social"/> : Vehicle counting using Pytorch.
- MaryamBoneh/Vehicle-Detection - Detection?style=social"/> : Vehicle Detection Using Deep Learning and YOLO Algorithm.
- zeusees/License-Plate-Detector - Plate-Detector?style=social"/> : License Plate Detection with Yolov5，基于Yolov5车牌检测。
- JeffWang0325/Image-Identification-for-Self-Driving-Cars - Identification-for-Self-Driving-Cars?style=social"/> : This project achieves some functions of image identification for Self-Driving Cars.
- ruhyadi/yolov5-nodeflux - nodeflux?style=social"/> : YOLOv5 Nodeflux Vehicle Detection.
- Daheer/Driving-Environment-Detector - Environment-Detector?style=social"/> : Detecting road objects using YOLO CNN Architecture.
- TheophileBuy/LicensePlateRecognition
- heathhenley/RhodyCarCounter
- kyrielw24/License_Plate_Recognition
- zehengl/yyc-traffic-cam - traffic-cam?style=social"/> : A demo to detect vehicles in traffic cam. [zehengl.github.io/yyc-traffic-cam/](https://zehengl.github.io/yyc-traffic-cam/)
- ruhyadi/vehicle-detection-yolov8 - detection-yolov8?style=social"/> : Vehicle Detection with YOLOv8.
- alitourani/yolo-license-plate-detection - license-plate-detection?style=social"/> : A License-Plate detecttion application based on YOLO.
- HuKai97/YOLOv5-LPRNet-Licence-Recognition - LPRNet-Licence-Recognition?style=social"/> : 使用YOLOv5和LPRNet进行车牌检测+识别（CCPD数据集）。
- xialuxi/yolov5-car-plate - car-plate?style=social"/> : 基于yolov5的车牌检测，包含车牌角点检测。
- we0091234/yolov7_plate
- MuhammadMoinFaisal/Automatic_Number_Plate_Detection_Recognition_YOLOv8
- YOLOP
- YOLOPv2 - AD/YOLOPv2?style=social"/> : "YOLOPv2: Better, Faster, Stronger for Panoptic Driving Perception". (**[arXiv 2022](https://arxiv.org/abs/2208.11434)**). "微信公众号「集智书童」《[YOLOP v2来啦 | YOLOv7结合YOLOP的多任务版本，超越YOLOP以及HybridNets](https://mp.weixin.qq.com/s/XTD32JCu_YbZjV2Br3KXCA)》"
- FeiGeChuanShu/YOLOPv2-ncnn - ncnn?style=social"/> : YOLOPv2-ncnn.
- visualbuffer/copilot
- hpc203/YOLOP-opencv-dnn - opencv-dnn?style=social"/> : 使用OpenCV部署全景驾驶感知网络YOLOP，可同时处理交通目标检测、可驾驶区域分割、车道线检测，三项视觉感知任务。
- EdVince/YOLOP-NCNN - NCNN?style=social"/> : YOLOP running in Android by ncnn.
- JingyibySUTsoftware/Yolov5-deepsort-driverDistracted-driving-behavior-detection - deepsort-driverDistracted-driving-behavior-detection?style=social"/> : 基于深度学习的驾驶员分心驾驶行为（疲劳+危险行为）预警系统使用YOLOv5+Deepsort实现驾驶员的危险驾驶行为的预警监测。
- visualbuffer/parkingslot
- anil2k/smart-car-parking-yolov5 - car-parking-yolov5?style=social"/> : Detect free parking lot available for cars.
- berktepebag/Traffic-light-detection-with-YOLOv3-BOSCH-traffic-light-dataset - light-detection-with-YOLOv3-BOSCH-traffic-light-dataset?style=social"/> : Detecting Traffic Lights in Real-time with YOLOv3.
- mihir-m-gandhi/Adaptive-Traffic-Signal-Timer - m-gandhi/Adaptive-Traffic-Signal-Timer?style=social"/> : This Adaptive Traffic Signal Timer uses live images from the cameras at traffic junctions for real-time traffic density calculation using YOLO object detection and sets the signal timers accordingly.
- halftop/TT100K_YOLO_Label - Tencent 100K dataset XML and TXT Label.
- amazingcodeLYL/Traffic_signs_detection_darket
- TalkUHulk/yolov3-TT100k - TT100k?style=social"/> : 使用yolov3训练的TT100k(交通标志)模型。
- TalkUHulk/yolov4-TT100k - TT100k?style=social"/> : 使用yolov4训练的TT100k(交通标志)模型。
- sarah-antillia/YOLO_Realistic_USA_RoadSigns_160classes - antillia/YOLO_Realistic_USA_RoadSigns_160classes?style=social"/> : USA RoadSigns Dataset 160classes annotated by YOLO format.
- hpc203/YOLOP-opencv-dnn - opencv-dnn?style=social"/> : 使用OpenCV部署全景驾驶感知网络YOLOP，可同时处理交通目标检测、可驾驶区域分割、车道线检测，三项视觉感知任务。
- EdVince/YOLOP-NCNN - NCNN?style=social"/> : YOLOP running in Android by ncnn.
- JingyibySUTsoftware/Yolov5-deepsort-driverDistracted-driving-behavior-detection - deepsort-driverDistracted-driving-behavior-detection?style=social"/> : 基于深度学习的驾驶员分心驾驶行为（疲劳+危险行为）预警系统使用YOLOv5+Deepsort实现驾驶员的危险驾驶行为的预警监测。
- visualbuffer/parkingslot
- anil2k/smart-car-parking-yolov5 - car-parking-yolov5?style=social"/> : Detect free parking lot available for cars.
- berktepebag/Traffic-light-detection-with-YOLOv3-BOSCH-traffic-light-dataset - light-detection-with-YOLOv3-BOSCH-traffic-light-dataset?style=social"/> : Detecting Traffic Lights in Real-time with YOLOv3.
- mihir-m-gandhi/Adaptive-Traffic-Signal-Timer - m-gandhi/Adaptive-Traffic-Signal-Timer?style=social"/> : This Adaptive Traffic Signal Timer uses live images from the cameras at traffic junctions for real-time traffic density calculation using YOLO object detection and sets the signal timers accordingly.
- LIU42/PassingRules
- halftop/TT100K_YOLO_Label - Tencent 100K dataset XML and TXT Label.
- amazingcodeLYL/Traffic_signs_detection_darket
- TalkUHulk/yolov3-TT100k - TT100k?style=social"/> : 使用yolov3训练的TT100k(交通标志)模型。
- TalkUHulk/yolov4-TT100k - TT100k?style=social"/> : 使用yolov4训练的TT100k(交通标志)模型。
- sarah-antillia/YOLO_Realistic_USA_RoadSigns_160classes - antillia/YOLO_Realistic_USA_RoadSigns_160classes?style=social"/> : USA RoadSigns Dataset 160classes annotated by YOLO format.
- CDNet - time and robust crosswalk detection network on Jetson nano based on YOLOv5". (**[Neural Computing and Applications 2022](https://link.springer.com/article/10.1007/s00521-022-07007-9)**). "微信公众号「CVer」《[上海交大提出CDNet：基于改进YOLOv5的斑马线和汽车过线行为检测](https://mp.weixin.qq.com/s/2F3WBtfN_7DkhERMOH8-QA)》"。
- E-Kozyreva/detection_potholes_yolov8n - Kozyreva/detection_potholes_yolov8n?style=social"/> : Поиск выбоин на дорогах с использованием YOLOv8 Nano.
- mounishvatti/pothole_detection_yolov8
- SaiSwarup27/Animal-Intrusion-Detection - Intrusion-Detection?style=social"/> : Animal Detection using YOLOv5.
- xcapt0/animal_recognition
- PhamDangNguyen/YOLOv5_Animals
- Sabuj-CSE11/AnimalDetection - CSE11/AnimalDetection?style=social"/> : Cat and Dogs detection using YoloV5.
- PeterH0323/Smart_Construction
- DickensKP/yolov3-vehicle-pedestrian-trafficsign-detection-system - vehicle-pedestrian-trafficsign-detection-system?style=social"/> : 基于bubbliiiing的yolov3-pytorch框架，自主训练的车辆、行人、交通标志识别系统.
- Sabuj-CSE11/AnimalDetection - CSE11/AnimalDetection?style=social"/> : Cat and Dogs detection using YoloV5.
- mkrupczak3/Coneslayer - network for rapid detection of traffic cones.
- CDNet - time and robust crosswalk detection network on Jetson nano based on YOLOv5". (**[Neural Computing and Applications 2022](https://link.springer.com/article/10.1007/s00521-022-07007-9)**). "微信公众号「CVer」《[上海交大提出CDNet：基于改进YOLOv5的斑马线和汽车过线行为检测](https://mp.weixin.qq.com/s/2F3WBtfN_7DkhERMOH8-QA)》"。
- PeterH0323/Smart_Construction
- khaledsabry97/Argus
- E-Kozyreva/detection_potholes_yolov8n - Kozyreva/detection_potholes_yolov8n?style=social"/> : Поиск выбоин на дорогах с использованием YOLOv8 Nano.
- mounishvatti/pothole_detection_yolov8
- SaiSwarup27/Animal-Intrusion-Detection - Intrusion-Detection?style=social"/> : Animal Detection using YOLOv5.
- xcapt0/animal_recognition
- PhamDangNguyen/YOLOv5_Animals
- gengyanlei/reflective-clothes-detect-yolov5 - clothes-detect-yolov5?style=social"/> : reflective-clothes-detect-dataset、helemet detection yolov5、工作服(反光衣)检测数据集、安全帽检测、施工人员穿戴检测。
- BlcaKHat/yolov3-Helmet-Detection - Helmet-Detection?style=social"/> : Training a YOLOv3 model to detect the presence of helmet for intrusion or traffic monitoring.
- RUI-LIU7/Helmet_Detection - LIU7/Helmet_Detection?style=social"/> : 使用yolov5算法实现安全帽以及危险区域的监测，同时接入海康摄像头实现实时监测。
- cansik/yolo-hand-detection - hand-detection?style=social"/> : A pre-trained YOLO based hand detection network.
- gengyanlei/reflective-clothes-detect-yolov5 - clothes-detect-yolov5?style=social"/> : reflective-clothes-detect-dataset、helemet detection yolov5、工作服(反光衣)检测数据集、安全帽检测、施工人员穿戴检测。
- DataXujing/YOLO-V3-Tensorflow - V3-Tensorflow?style=social"/> : 👷 👷👷 YOLO V3(Tensorflow 1.x) 安全帽识别 | 提供数据集下载和与预训练模型。
- rafiuddinkhan/Yolo-Training-GoogleColab - Training-GoogleColab?style=social"/> : Helmet Detection using tiny-yolo-v3 by training using your own dataset and testing the results in the google colaboratory.
- BlcaKHat/yolov3-Helmet-Detection - Helmet-Detection?style=social"/> : Training a YOLOv3 model to detect the presence of helmet for intrusion or traffic monitoring.
- RUI-LIU7/Helmet_Detection - LIU7/Helmet_Detection?style=social"/> : 使用yolov5算法实现安全帽以及危险区域的监测，同时接入海康摄像头实现实时监测。
- cansik/yolo-hand-detection - hand-detection?style=social"/> : A pre-trained YOLO based hand detection network.
- MahmudulAlam/Unified-Gesture-and-Fingertip-Detection - Gesture-and-Fingertip-Detection?style=social"/> : "Unified learning approach for egocentric hand gesture recognition and fingertip detection". (**[Elsevier 2022](https://www.sciencedirect.com/science/article/abs/pii/S0031320321003824)**)
- insigh1/Interactive_ABCs_with_American_Sign_Language_using_Yolov5
- wufan-tb/yolo_slowfast - tb/yolo_slowfast?style=social"/> : A realtime action detection frame work based on PytorchVideo.
- Tandon-A/emotic - A/emotic?style=social"/> : "Context based emotion recognition using emotic dataset". (**[arXiv 2020](https://arxiv.org/abs/2003.13401)**)
- wmcnally/kapao - of-the-art single-stage human pose estimation model that detects keypoints and poses as objects and fuses the detections to predict human poses. "Rethinking Keypoint Representations: Modeling Keypoints and Poses as Objects for Multi-Person Human Pose Estimation". (**[arXiv 2021](https://arxiv.org/abs/2111.08557)**)
- TexasInstruments/edgeai-yolov5 - yolov5?style=social"/> : "YOLO-Pose: Enhancing YOLO for Multi Person Pose Estimation Using Object Keypoint Similarity Loss". (**[arXiv 2022](https://arxiv.org/abs/2204.06806)**)
- TexasInstruments/edgeai-yolox - yolox?style=social"/> : "YOLO-Pose: Enhancing YOLO for Multi Person Pose Estimation Using Object Keypoint Similarity Loss". (**[arXiv 2022](https://arxiv.org/abs/2204.06806)**)
- pengyang1225/yolov5_person_pose
- hpc203/yolov5_pose_opencv - pose目标检测+人体姿态估计，包含C++和Python两个版本的程序。支持yolov5s，yolov5m，yolov5l。
- RizwanMunawar/yolov7-pose-estimation - pose-estimation?style=social"/> : YOLOv7 Pose estimation using OpenCV, PyTorch.
- nanmi/yolov7-pose - pose?style=social"/> : pose detection base on yolov7.
- wenyishengkingkong/realsense-D455-YOLOV5 - D455-YOLOV5?style=social"/> : 利用realsense深度相机实现yolov5目标检测的同时测出距离。
- Thinkin99/yolov5_d435i_detection
- MUCHWAY/detect_distance_gazebo
- magisystem0408/yolov5-DeepSort-RealSenseD435i - DeepSort-RealSenseD435i?style=social"/> : yolov5+Realsence+DeepSense D435i.
- SAM - anything?style=social"/> : The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model. "Segment Anything". (**[arXiv 2023](https://arxiv.org/abs/2304.02643)**).
- Grounded-SAM - Research/Grounded-Segment-Anything?style=social"/> : Marrying Grounding DINO with Segment Anything & Stable Diffusion & Tag2Text & BLIP & Whisper & ChatBot - Automatically Detect , Segment and Generate Anything with Image, Text, and Audio Inputs. We plan to create a very interesting demo by combining [Grounding DINO](https://github.com/IDEA-Research/GroundingDINO) and [Segment Anything](https://github.com/facebookresearch/segment-anything) which aims to detect and segment Anything with text inputs!
- Laughing-q/yolov5-q - q/yolov5-q?style=social"/> : This repo is plan for instance segmentation based on yolov5-6.0 and yolact.
- TomMao23/multiyolov5
- ArtyZe/yolo_segmentation
- midasklr/yolov5ds - task yolov5 with detection and segmentation.
- RizwanMunawar/yolov7-segmentation - segmentation?style=social"/> : YOLOv7 Instance Segmentation using OpenCV and PyTorch.
- leandro-svg/Yolov7_Segmentation_Tensorrt - svg/Yolov7_Segmentation_Tensorrt?style=social"/> : The real-time Instance Segmentation Algorithm Yolov7 running on TensoRT and ONNX.
- MahmudulAlam/Unified-Gesture-and-Fingertip-Detection - Gesture-and-Fingertip-Detection?style=social"/> : "Unified learning approach for egocentric hand gesture recognition and fingertip detection". (**[Elsevier 2022](https://www.sciencedirect.com/science/article/abs/pii/S0031320321003824)**)
- insigh1/Interactive_ABCs_with_American_Sign_Language_using_Yolov5
- wufan-tb/yolo_slowfast - tb/yolo_slowfast?style=social"/> : A realtime action detection frame work based on PytorchVideo.
- Tandon-A/emotic - A/emotic?style=social"/> : "Context based emotion recognition using emotic dataset". (**[arXiv 2020](https://arxiv.org/abs/2003.13401)**)
- wmcnally/kapao - of-the-art single-stage human pose estimation model that detects keypoints and poses as objects and fuses the detections to predict human poses. "Rethinking Keypoint Representations: Modeling Keypoints and Poses as Objects for Multi-Person Human Pose Estimation". (**[arXiv 2021](https://arxiv.org/abs/2111.08557)**)
- TexasInstruments/edgeai-yolov5 - yolov5?style=social"/> : "YOLO-Pose: Enhancing YOLO for Multi Person Pose Estimation Using Object Keypoint Similarity Loss". (**[arXiv 2022](https://arxiv.org/abs/2204.06806)**)
- TexasInstruments/edgeai-yolox - yolox?style=social"/> : "YOLO-Pose: Enhancing YOLO for Multi Person Pose Estimation Using Object Keypoint Similarity Loss". (**[arXiv 2022](https://arxiv.org/abs/2204.06806)**)
- zhuoxiangpang/ism_person_openpose
- pengyang1225/yolov5_person_pose
- hpc203/yolov5_pose_opencv - pose目标检测+人体姿态估计，包含C++和Python两个版本的程序。支持yolov5s，yolov5m，yolov5l。
- RizwanMunawar/yolov7-pose-estimation - pose-estimation?style=social"/> : YOLOv7 Pose estimation using OpenCV, PyTorch.
- nanmi/yolov7-pose - pose?style=social"/> : pose detection base on yolov7.
- davidfrz/yolov5_distance_count
- wenyishengkingkong/realsense-D455-YOLOV5 - D455-YOLOV5?style=social"/> : 利用realsense深度相机实现yolov5目标检测的同时测出距离。
- Thinkin99/yolov5_d435i_detection
- MUCHWAY/detect_distance_gazebo
- magisystem0408/yolov5-DeepSort-RealSenseD435i - DeepSort-RealSenseD435i?style=social"/> : yolov5+Realsence+DeepSense D435i.
- SAM - anything?style=social"/> : The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model. "Segment Anything". (**[arXiv 2023](https://arxiv.org/abs/2304.02643)**).
- Grounded-SAM - Research/Grounded-Segment-Anything?style=social"/> : Marrying Grounding DINO with Segment Anything & Stable Diffusion & Tag2Text & BLIP & Whisper & ChatBot - Automatically Detect , Segment and Generate Anything with Image, Text, and Audio Inputs. We plan to create a very interesting demo by combining [Grounding DINO](https://github.com/IDEA-Research/GroundingDINO) and [Segment Anything](https://github.com/facebookresearch/segment-anything) which aims to detect and segment Anything with text inputs!
- Laughing-q/yolov5-q - q/yolov5-q?style=social"/> : This repo is plan for instance segmentation based on yolov5-6.0 and yolact.
- TomMao23/multiyolov5
- ArtyZe/yolo_segmentation
- midasklr/yolov5ds - task yolov5 with detection and segmentation.
- RizwanMunawar/yolov7-segmentation - segmentation?style=social"/> : YOLOv7 Instance Segmentation using OpenCV and PyTorch.
- leandro-svg/Yolov7_Segmentation_Tensorrt - svg/Yolov7_Segmentation_Tensorrt?style=social"/> : The real-time Instance Segmentation Algorithm Yolov7 running on TensoRT and ONNX.
- akashAD98/YOLOV8_SAM
- ADLab-AutoDrive/BEVFusion - AutoDrive/BEVFusion?style=social"/> : "BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework". (**[NeurIPS 2022](https://arxiv.org/abs/2205.13790)**).
- mit-han-lab/bevfusion - han-lab/bevfusion?style=social"/> : "BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation". (**[ICRA 2023](https://arxiv.org/abs/2205.13542)**).
- ADLab-AutoDrive/BEVFusion - AutoDrive/BEVFusion?style=social"/> : "BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework". (**[NeurIPS 2022](https://arxiv.org/abs/2205.13790)**).
- mit-han-lab/bevfusion - han-lab/bevfusion?style=social"/> : "BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation". (**[ICRA 2023](https://arxiv.org/abs/2205.13542)**).
- AI-liu/Complex-YOLO - liu/Complex-YOLO?style=social"/> : This is an unofficial implementation of "Complex-YOLO: Real-time 3D Object Detection on Point Clouds in pytorch". (**[arXiv 2018](https://arxiv.org/abs/1803.06199)**)
- ghimiredhikura/Complex-YOLOv3 - YOLOv3?style=social"/> : Complete but Unofficial PyTorch Implementation of "Complex-YOLO: Real-time 3D Object Detection on Point Clouds with YoloV3". (**[arXiv 2018](https://arxiv.org/abs/1803.06199)**)
- ruhyadi/YOLO3D - BoundingBox](https://github.com/skhadem/3D-BoundingBox), "3D Bounding Box Estimation Using Deep Learning and Geometry". (**[CVPR 2017](https://openaccess.thecvf.com/content_cvpr_2017/html/Mousavian_3D_Bounding_Box_CVPR_2017_paper.html)**)
- ruhyadi/yolo3d-lightning
- Yuanchu/YOLO3D
- EmiyaNing/3D-YOLO - YOLO?style=social"/> : YOLO v5 for Lidar-based 3D BEV Detection.
- maudzung/Complex-YOLOv4-Pytorch - YOLOv4-Pytorch?style=social"/> : The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds". (**[arXiv 2018](https://arxiv.org/abs/1803.06199)**)
- SAM3D - Shot 3D Object Detection via [Segment Anything](https://github.com/facebookresearch/segment-anything) Model". (**[arXiv 2023](https://arxiv.org/abs/2306.02245)**).
- AI-liu/Complex-YOLO - liu/Complex-YOLO?style=social"/> : This is an unofficial implementation of "Complex-YOLO: Real-time 3D Object Detection on Point Clouds in pytorch". (**[arXiv 2018](https://arxiv.org/abs/1803.06199)**)
- maudzung/YOLO3D-YOLOv4-PyTorch - YOLOv4-PyTorch?style=social"/> : The PyTorch Implementation based on YOLOv4 of the paper: "YOLO3D: End-to-end real-time 3D Oriented Object Bounding Box Detection from LiDAR Point Cloud". (**[ECCV 2018](https://openaccess.thecvf.com/content_eccv_2018_workshops/w18/html/Ali_YOLO3D_End-to-end_real-time_3D_Oriented_Object_Bounding_Box_Detection_from_ECCVW_2018_paper.html)**)
- ghimiredhikura/Complex-YOLOv3 - YOLOv3?style=social"/> : Complete but Unofficial PyTorch Implementation of "Complex-YOLO: Real-time 3D Object Detection on Point Clouds with YoloV3". (**[arXiv 2018](https://arxiv.org/abs/1803.06199)**)
- ruhyadi/yolo3d-lightning
- Yuanchu/YOLO3D
- EmiyaNing/3D-YOLO - YOLO?style=social"/> : YOLO v5 for Lidar-based 3D BEV Detection.
- saransapmaz/cv-slam-object-determination - slam-object-determination?style=social"/> : Object detection with hector slam and YOLO v3 computer vision algorithm.
- bijustin/YOLO-DynaSLAM - DynaSLAM?style=social"/> : YOLO Dynamic ORB_SLAM is a visual SLAM system that is robust in dynamic scenarios for RGB-D configuration.
- annsonic/Steel_defect - rolled steel strip surface defects (NEU-DET dataset).
- VanillaHours/pcbDefectDetectionYOLO
- talisma-cassoma/pcb-components-detection-recognition - cassoma/pcb-components-detection-recognition?style=social"/> : this code shows the train and test of a YOLOV5 convolutional neural network for detection of electronics components.
- Luckycat518/Yolo-MSAPF - MSAPF?style=social"/> : Yolo-MSAPF: Multi-Scale Alignment fusion with Parallel feature Filtering model for high accuracy weld defect detection.
- bijustin/YOLO-DynaSLAM - DynaSLAM?style=social"/> : YOLO Dynamic ORB_SLAM is a visual SLAM system that is robust in dynamic scenarios for RGB-D configuration.
- saransapmaz/cv-slam-object-determination - slam-object-determination?style=social"/> : Object detection with hector slam and YOLO v3 computer vision algorithm.
- annsonic/Steel_defect - rolled steel strip surface defects (NEU-DET dataset).
- VanillaHours/pcbDefectDetectionYOLO
- talisma-cassoma/pcb-components-detection-recognition - cassoma/pcb-components-detection-recognition?style=social"/> : this code shows the train and test of a YOLOV5 convolutional neural network for detection of electronics components.
- Luckycat518/Yolo-MSAPF - MSAPF?style=social"/> : Yolo-MSAPF: Multi-Scale Alignment fusion with Parallel feature Filtering model for high accuracy weld defect detection.
- JiaLim98/YOLO-PCB - PCB?style=social"/> : A Deep Context Learning based PCB Defect Detection Model with Anomalous Trend Alarming System.
- humblecoder612/SAR_yolov3
- NVIDIA-AI-IOT/Lidar_AI_Solution - AI-IOT/Lidar_AI_Solution?style=social"/> : This is a highly optimized solution for self-driving 3D-lidar repository. It does a great job of speeding up sparse convolution/CenterPoint/BEVFusion/OSD/Conversion. A project demonstrating Lidar related AI solutions, including three GPU accelerated Lidar/camera DL networks (PointPillars, CenterPoint, BEVFusion) and the related libs (cuPCL, 3D SparseConvolution, YUV2RGB, cuOSD,).
- SuperYOLO - zhang/SuperYOLO?style=social"/> : "SuperYOLO: Super Resolution Assisted Object Detection in Multimodal Remote Sensing Imagery". (**[arXiv 2022](https://arxiv.org/abs/2209.13351)**)
- mjoshi07/Visual-Sensor-Fusion - Sensor-Fusion?style=social"/> : LiDAR Fusion with Vision.
- DocF/multispectral-object-detection - object-detection?style=social"/> : Multispectral Object Detection with Yolov5 and Transformer.
- MAli-Farooq/Thermal-YOLO - V5 framework for ADAS application.
- JiaLim98/YOLO-PCB - PCB?style=social"/> : A Deep Context Learning based PCB Defect Detection Model with Anomalous Trend Alarming System.
- humblecoder612/SAR_yolov3
- DocF/multispectral-object-detection - object-detection?style=social"/> : Multispectral Object Detection with Yolov5 and Transformer.
- MAli-Farooq/Thermal-YOLO - V5 framework for ADAS application.
- NVIDIA-AI-IOT/Lidar_AI_Solution - AI-IOT/Lidar_AI_Solution?style=social"/> : This is a highly optimized solution for self-driving 3D-lidar repository. It does a great job of speeding up sparse convolution/CenterPoint/BEVFusion/OSD/Conversion. A project demonstrating Lidar related AI solutions, including three GPU accelerated Lidar/camera DL networks (PointPillars, CenterPoint, BEVFusion) and the related libs (cuPCL, 3D SparseConvolution, YUV2RGB, cuOSD,).
- SuperYOLO - zhang/SuperYOLO?style=social"/> : "SuperYOLO: Super Resolution Assisted Object Detection in Multimodal Remote Sensing Imagery". (**[arXiv 2022](https://arxiv.org/abs/2209.13351)**)
- OrangeSodahub/CRLFnet - Radar-Lidar Fusion detection net based on ROS, YOLOv3, OpenPCDet integration.
- Ye-zixiao/Double-YOLO-Kaist - zixiao/Double-YOLO-Kaist?style=social"/> : 一种基于YOLOv3/4的双流混合模态道路行人检测方法🌊💧💦。
- mjoshi07/Visual-Sensor-Fusion - Sensor-Fusion?style=social"/> : LiDAR Fusion with Vision.
- jere357/yolov5-RGBD - RGBD?style=social"/> : "fork" from yolov5 with the possibility of running inferences on RGBD(C) images, work in progress. This repo is not a fork of the original repo bcs i already have 1 fork with a PR pending, this is still messy code and a work in progress.
- gengyanlei/fire-smoke-detect-yolov4 - smoke-detect-yolov4?style=social"/> : fire-smoke-detect-yolov4-yolov5 and fire-smoke-detection-dataset 火灾检测，烟雾检测。
- CVUsers/Smoke-Detect-by-YoloV5 - Detect-by-YoloV5?style=social"/> : Yolov5 real time smoke detection system.
- CVUsers/Fire-Detect-by-YoloV5 - Detect-by-YoloV5?style=social"/> : 火灾检测，浓烟检测，吸烟检测。
- spacewalk01/Yolov5-Fire-Detection - Fire-Detection?style=social"/> : Train yolov5 to detect fire in an image or video.
- roflcoopter/viseron - Self-hosted NVR with object detection.
- Ye-zixiao/Double-YOLO-Kaist - zixiao/Double-YOLO-Kaist?style=social"/> : 一种基于YOLOv3/4的双流混合模态道路行人检测方法🌊💧💦。
- jere357/yolov5-RGBD - RGBD?style=social"/> : "fork" from yolov5 with the possibility of running inferences on RGBD(C) images, work in progress. This repo is not a fork of the original repo bcs i already have 1 fork with a PR pending, this is still messy code and a work in progress.
- gengyanlei/fire-smoke-detect-yolov4 - smoke-detect-yolov4?style=social"/> : fire-smoke-detect-yolov4-yolov5 and fire-smoke-detection-dataset 火灾检测，烟雾检测。
- CVUsers/Smoke-Detect-by-YoloV5 - Detect-by-YoloV5?style=social"/> : Yolov5 real time smoke detection system.
- CVUsers/Fire-Detect-by-YoloV5 - Detect-by-YoloV5?style=social"/> : 火灾检测，浓烟检测，吸烟检测。
- spacewalk01/Yolov5-Fire-Detection - Fire-Detection?style=social"/> : Train yolov5 to detect fire in an image or video.
- bishal116/FireDetection
- robmarkcole/fire-detection-from-images - detection-from-images?style=social"/> : Detect fire in images using neural nets.
- gaiasd/DFireDataset - Fire: an image data set for fire and smoke detection.
- AI-Expert-04/School_Zone_Eye_Level - Expert-04/School_Zone_Eye_Level?style=social"/> : Prevention of accidents in school zones using deep learning.
- dcmartin/motion-ai - ai?style=social"/> : AI assisted motion detection for Home Assistant.
- Nico31415/Drowning-Detector - Detector?style=social"/> : Using YOLO object detection, this program will detect if a person is drowning.
- mc-cat-tty/DoorbellCamDaemon - cat-tty/DoorbellCamDaemon?style=social"/> : Part of DoorbellCam project: daemon for people recognition with YOLO from a RTSP video stream.
- Choe-Ji-Hwan/Fire_Detect_Custom_Yolov5 - Ji-Hwan/Fire_Detect_Custom_Yolov5?style=social"/> : 2022-1 Individual Research Assignment: Using YOLOv5 to simply recognize each type of fire.
- roboflow/supervision
- AntroSafin/Fire_Detection_YoloV5
- harivams-sai/FireDetectionYOLOv8 - sai/FireDetectionYOLOv8?style=social"/> : A fire detection model based on YOLOv8 Ultralytics model for object detection. Tech: Python, Computer Vision, Colab Notebook, Fire-detection, YOLOv8.
- pedbrgs/Fire-Detection - Detection?style=social"/> : Fire and smoke detection using spatial and temporal patterns.
- DataXujing/YOLO-v5 - v5?style=social"/> : YOLO v5在医疗领域中消化内镜目标检测的应用。
- Jafar-Abdollahi/Automated-detection-of-COVID-19-cases-using-deep-neural-networks-with-CTS-images - Abdollahi/Automated-detection-of-COVID-19-cases-using-deep-neural-networks-with-CTS-images?style=social"/> : In this project, a new model for automatic detection of covid-19 using raw chest X-ray images is presented.
- fahriwps/breast-cancer-detection - cancer-detection?style=social"/> : Breast cancer mass detection using YOLO object detection algorithm and GUI.
- niehusst/YOLO-Cancer-Detection - Cancer-Detection?style=social"/> : An implementation of the YOLO algorithm trained to spot tumors in DICOM images.
- Nico31415/Drowning-Detector - Detector?style=social"/> : Using YOLO object detection, this program will detect if a person is drowning.
- mc-cat-tty/DoorbellCamDaemon - cat-tty/DoorbellCamDaemon?style=social"/> : Part of DoorbellCam project: daemon for people recognition with YOLO from a RTSP video stream.
- Choe-Ji-Hwan/Fire_Detect_Custom_Yolov5 - Ji-Hwan/Fire_Detect_Custom_Yolov5?style=social"/> : 2022-1 Individual Research Assignment: Using YOLOv5 to simply recognize each type of fire.
- bishal116/FireDetection
- pedbrgs/Fire-Detection - Detection?style=social"/> : Fire and smoke detection using spatial and temporal patterns.
- Anti-UAV - UAV?style=social"/> : 🔥🔥Official Repository for Anti-UAV🔥🔥. "Evidential Detection and Tracking Collaboration: New Problem, Benchmark and Algorithm for Robust Anti-UAV System". (**[arXiv 2023](https://arxiv.org/abs/2306.15767)**)
- robmarkcole/fire-detection-from-images - detection-from-images?style=social"/> : Detect fire in images using neural nets.
- gaiasd/DFireDataset - Fire: an image data set for fire and smoke detection.
- MuhammadMoinFaisal/FireDetectionYOLOv8
- DataXujing/YOLO-v5 - v5?style=social"/> : YOLO v5在医疗领域中消化内镜目标检测的应用。
- AI-Expert-04/School_Zone_Eye_Level - Expert-04/School_Zone_Eye_Level?style=social"/> : Prevention of accidents in school zones using deep learning.
- roboflow/supervision
- AntroSafin/Fire_Detection_YoloV5
- harivams-sai/FireDetectionYOLOv8 - sai/FireDetectionYOLOv8?style=social"/> : A fire detection model based on YOLOv8 Ultralytics model for object detection. Tech: Python, Computer Vision, Colab Notebook, Fire-detection, YOLOv8.
- e-candeloro/SAURUSS-Autonomous-Drone-Surveillance - candeloro/SAURUSS-Autonomous-Drone-Surveillance?style=social"/> : An autonomous drone and sensor based surveillance system that use a Tello Drone, an Arduino, a Raspberry Pi and an Android smartphone.
- Jafar-Abdollahi/Automated-detection-of-COVID-19-cases-using-deep-neural-networks-with-CTS-images - Abdollahi/Automated-detection-of-COVID-19-cases-using-deep-neural-networks-with-CTS-images?style=social"/> : In this project, a new model for automatic detection of covid-19 using raw chest X-ray images is presented.
- fahriwps/breast-cancer-detection - cancer-detection?style=social"/> : Breast cancer mass detection using YOLO object detection algorithm and GUI.
- niehusst/YOLO-Cancer-Detection - Cancer-Detection?style=social"/> : An implementation of the YOLO algorithm trained to spot tumors in DICOM images.
- safakgunes/Blood-Cancer-Detection-YOLOV5 - Cancer-Detection-YOLOV5?style=social"/> : Blood Cancer Detection with YOLOV5.
- shchiang0708/YOLOv2_skinCancer
- avral1810/parkinsongait
- safakgunes/Blood-Cancer-Detection-YOLOV5 - Cancer-Detection-YOLOV5?style=social"/> : Blood Cancer Detection with YOLOV5.
- shchiang0708/YOLOv2_skinCancer
- avral1810/parkinsongait
- sierprinsky/YoloV5_blood_cells
- LuozyCS/skin_disease_detection_yolov5
- MIRACLE-Center/YOLO_Universal_Anatomical_Landmark_Detection - Center/YOLO_Universal_Anatomical_Landmark_Detection?style=social"/> : [MICCAI 2021] [You Only Learn Once: Universal Anatomical Landmark Detection](https://arxiv.org/abs/2103.04657)
- LuozyCS/skin_disease_detection_yolov5
- sierprinsky/YoloV5_blood_cells
- Moqixis/object_detection_yolov5_deepsort
- mdciri/YOLOv7-Bone-Fracture-Detection - Bone-Fracture-Detection?style=social"/> : YOLOv7 to detect bone fractures on X-ray images.
- MIRACLE-Center/YOLO_Universal_Anatomical_Landmark_Detection - Center/YOLO_Universal_Anatomical_Landmark_Detection?style=social"/> : [MICCAI 2021] [You Only Learn Once: Universal Anatomical Landmark Detection](https://arxiv.org/abs/2103.04657)
- mkang315/CST-YOLO - YOLO?style=social"/> : Official implementation of "CST-YOLO: A Novel Method for Blood Cell Detection Based on Improved YOLOv7 and CNN-Swin Transformer".
- mkang315/BGF-YOLO - YOLO?style=social"/> : [MICCAI'24] Official implementation of "BGF-YOLO: Enhanced YOLOv8 with Multiscale Attentional Feature Fusion for Brain Tumor Detection".
- xuguodong1999/COCR - writing chemical structure to graph of that molecule.
- liao1fan/MGA-YOLO-for-apple-leaf-disease-detection - YOLO-for-apple-leaf-disease-detection?style=social"/> : MGA-YOLO: A Lightweight One-Stage Network for Apple Leaf Disease Detection.
- tanmaypandey7/wheat-detection - detection?style=social"/> : Detecting wheat heads using YOLOv5.
- WoodratTradeCo/crop-rows-detection - rows-detection?style=social"/> : It is an real-time crop rows detection method using YOLOv5.
- denghv/Vegetables_Fruit_Detection
- tomer-erez/pingpong-referee - erez/pingpong-referee?style=social"/> : using the YOlO algorithm for an automated pingpong referee.
- LLVIP - ai-cz/LLVIP?style=social"/> : "LLVIP: A Visible-infrared Paired Dataset for Low-light Vision". (**[ICCV 2021](https://openaccess.thecvf.com/content/ICCV2021W/RLQ/html/Jia_LLVIP_A_Visible-Infrared_Paired_Dataset_for_Low-Light_Vision_ICCVW_2021_paper.html)**)
- mkang315/CST-YOLO - YOLO?style=social"/> : Official implementation of "CST-YOLO: A Novel Method for Blood Cell Detection Based on Improved YOLOv7 and CNN-Swin Transformer".
- mkang315/BGF-YOLO - YOLO?style=social"/> : [MICCAI'24] Official implementation of "BGF-YOLO: Enhanced YOLOv8 with Multiscale Attentional Feature Fusion for Brain Tumor Detection".
- xuguodong1999/COCR - writing chemical structure to graph of that molecule.
- VITA-Group/3D_Adversarial_Logo - Group/3D_Adversarial_Logo?style=social"/> : 3D adversarial logo attack on different3D object meshes to fool a YOLOV2 detector. "Can 3D Adversarial Logos Clock Humans?". (**[arXiv 2020](https://arxiv.org/abs/2006.14655)**)
- liao1fan/MGA-YOLO-for-apple-leaf-disease-detection - YOLO-for-apple-leaf-disease-detection?style=social"/> : MGA-YOLO: A Lightweight One-Stage Network for Apple Leaf Disease Detection.
- tanmaypandey7/wheat-detection - detection?style=social"/> : Detecting wheat heads using YOLOv5.
- WoodratTradeCo/crop-rows-detection - rows-detection?style=social"/> : It is an real-time crop rows detection method using YOLOv5.
- denghv/Vegetables_Fruit_Detection
- LLVIP - ai-cz/LLVIP?style=social"/> : "LLVIP: A Visible-infrared Paired Dataset for Low-light Vision". (**[ICCV 2021](https://openaccess.thecvf.com/content/ICCV2021W/RLQ/html/Jia_LLVIP_A_Visible-Infrared_Paired_Dataset_for_Low-Light_Vision_ICCVW_2021_paper.html)**)
- EAVISE/adversarial-yolo - COPS/Thys_Fooling_Automated_Surveillance_Cameras_Adversarial_Patches_to_Attack_Person_Detection_CVPRW_2019_paper.html)**)
- git-disl/TOG - disl/TOG?style=social"/> : "Adversarial Objectness Gradient Attacks on Real-time Object Detection Systems". (**[IEEE TPS-ISA 2020](https://ieeexplore.ieee.org/abstract/document/9325397)**) | "Understanding Object Detection Through an Adversarial Lens". (**[ESORICS 2020](https://link.springer.com/chapter/10.1007/978-3-030-59013-0_23)**)
- ASGuard-UCI/MSF-ADV - UCI/MSF-ADV?style=social"/> : MSF-ADV is a novel physical-world adversarial attack method, which can fool the Multi Sensor Fusion (MSF) based autonomous driving (AD) perception in the victim autonomous vehicle (AV) to fail in detecting a front obstacle and thus crash into it. "Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World Attacks". (**[IEEE S&P 2021](https://www.computer.org/csdl/proceedings-article/sp/2021/893400b302/1t0x9btzenu)**)
- veralauee/DPatch
- Image-Adaptive YOLO - Adaptive-YOLO?style=social"/> : "Image-Adaptive YOLO for Object Detection in Adverse Weather Conditions". (**[AAAI 2022](https://arxiv.org/abs/2112.08088)**). "计算机视觉研究院：《[图像自适应YOLO：模糊环境下的目标检测（附源代码）](https://mp.weixin.qq.com/s/QdM6Dx990VhN97MRIP74XA)》"
- EAVISE/adversarial-yolo - COPS/Thys_Fooling_Automated_Surveillance_Cameras_Adversarial_Patches_to_Attack_Person_Detection_CVPRW_2019_paper.html)**)
- git-disl/TOG - disl/TOG?style=social"/> : "Adversarial Objectness Gradient Attacks on Real-time Object Detection Systems". (**[IEEE TPS-ISA 2020](https://ieeexplore.ieee.org/abstract/document/9325397)**) | "Understanding Object Detection Through an Adversarial Lens". (**[ESORICS 2020](https://link.springer.com/chapter/10.1007/978-3-030-59013-0_23)**)
- VITA-Group/3D_Adversarial_Logo - Group/3D_Adversarial_Logo?style=social"/> : 3D adversarial logo attack on different3D object meshes to fool a YOLOV2 detector. "Can 3D Adversarial Logos Clock Humans?". (**[arXiv 2020](https://arxiv.org/abs/2006.14655)**)
- ASGuard-UCI/MSF-ADV - UCI/MSF-ADV?style=social"/> : MSF-ADV is a novel physical-world adversarial attack method, which can fool the Multi Sensor Fusion (MSF) based autonomous driving (AD) perception in the victim autonomous vehicle (AV) to fail in detecting a front obstacle and thus crash into it. "Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World Attacks". (**[IEEE S&P 2021](https://www.computer.org/csdl/proceedings-article/sp/2021/893400b302/1t0x9btzenu)**)
- veralauee/DPatch
- Wu-Shudeng/DPAttack - Shudeng/DPAttack?style=social"/> : "DPAttack: Diffused Patch Attacks against Universal Object Detection". (**[arXiv 2020](https://arxiv.org/abs/2010.11679)**)
- FenHua/DetDak
- THUrssq/Tianchi04 - 2020 Alibaba-Tsinghua Adversarial Challenge on Object Detection". "Sparse Adversarial Attack to Object Detection". (**[arXiv 2020](https://arxiv.org/abs/2012.13692)**)
- mesunhlf/UPC-tf - tf?style=social"/> : "Universal Physical Camouflage Attacks on Object Detectors". (**[CVPR 2020](https://openaccess.thecvf.com/content_CVPR_2020/html/Huang_Universal_Physical_Camouflage_Attacks_on_Object_Detectors_CVPR_2020_paper.html)**)
- alex96295/YOLOv3_adversarial_defense
- alex96295/YOLO_adversarial_attacks
- Wu-Shudeng/DPAttack - Shudeng/DPAttack?style=social"/> : "DPAttack: Diffused Patch Attacks against Universal Object Detection". (**[arXiv 2020](https://arxiv.org/abs/2010.11679)**)
- THUrssq/Tianchi04 - 2020 Alibaba-Tsinghua Adversarial Challenge on Object Detection". "Sparse Adversarial Attack to Object Detection". (**[arXiv 2020](https://arxiv.org/abs/2012.13692)**)
- mesunhlf/UPC-tf - tf?style=social"/> : "Universal Physical Camouflage Attacks on Object Detectors". (**[CVPR 2020](https://openaccess.thecvf.com/content_CVPR_2020/html/Huang_Universal_Physical_Camouflage_Attacks_on_Object_Detectors_CVPR_2020_paper.html)**)
- alex96295/YOLOv3_adversarial_defense
- alex96295/Adversarial-Patch-Attacks-TRAINING-YOLO-SSD-Pytorch - Patch-Attacks-TRAINING-YOLO-SSD-Pytorch?style=social"/> : This repository has the code needed to train 'Adversarial Patch Attacks' on YOLO and SSD models for object detection in Pytorch.
- FranBesq/attack-yolo - yolo?style=social"/> : Developing adversarial attacks on YOLO algorithm for computer vision.
- Rushi314/GPR-Object-Detection - Object-Detection?style=social"/> : Detecting Objects in Ground Penetrating Radars Scans.
- realtxy/pso-adversarial-yolo_v3 - adversarial-yolo_v3?style=social"/> : pso-adversarial-yolo_v3.
- sowgali/ObjCAM
- andrewpatrickdu/adversarial-yolov3-cowc - yolov3-cowc?style=social"/> : "Physical Adversarial Attacks on an Aerial Imagery Object Detector". (**[WACV 2022](https://openaccess.thecvf.com/content/WACV2022/html/Du_Physical_Adversarial_Attacks_on_an_Aerial_Imagery_Object_Detector_WACV_2022_paper.html)**)
- IQTLabs/camolo - (CAMOLO) trains adversarial patches to confuse the YOLO family of object detectors.
- AdvTexture
- SamSamhuns/yolov5_adversarial
- Ap1rate/yolov8-SIM - SIM?style=social"/> : Link to Journal of Ecological Informatics paper ' Camouflaged Detection: Optimization-Based Computer Vision for Alligator sinensis with Low Detectability in Complex Wild Environments '.
- alex96295/Adversarial-Patch-Attacks-TRAINING-YOLO-SSD-Pytorch - Patch-Attacks-TRAINING-YOLO-SSD-Pytorch?style=social"/> : This repository has the code needed to train 'Adversarial Patch Attacks' on YOLO and SSD models for object detection in Pytorch.
- FranBesq/attack-yolo - yolo?style=social"/> : Developing adversarial attacks on YOLO algorithm for computer vision.
- Rushi314/GPR-Object-Detection - Object-Detection?style=social"/> : Detecting Objects in Ground Penetrating Radars Scans.
- realtxy/pso-adversarial-yolo_v3 - adversarial-yolo_v3?style=social"/> : pso-adversarial-yolo_v3.
- sowgali/ObjCAM
- andrewpatrickdu/adversarial-yolov3-cowc - yolov3-cowc?style=social"/> : "Physical Adversarial Attacks on an Aerial Imagery Object Detector". (**[WACV 2022](https://openaccess.thecvf.com/content/WACV2022/html/Du_Physical_Adversarial_Attacks_on_an_Aerial_Imagery_Object_Detector_WACV_2022_paper.html)**)
- IQTLabs/camolo - (CAMOLO) trains adversarial patches to confuse the YOLO family of object detectors.
- AdvTexture
- SamSamhuns/yolov5_adversarial
- Ap1rate/yolov8-SIM - SIM?style=social"/> : Link to Journal of Ecological Informatics paper ' Camouflaged Detection: Optimization-Based Computer Vision for Alligator sinensis with Low Detectability in Complex Wild Environments '.
- SunOner/sunone_aimbot - bot based on AI for all FPS games. [boosty.to/sunone](https://boosty.to/sunone)
- Passer1072/RookieAI_yolov8 - aiming project based on yolov8.
- petercunha/Pine - time object detection with neural networks, GPU accelerated with Nvidia. Optimized for use with CS:GO.
- chaoyu1999/FPSAutomaticAiming
- kir486680/csgo_aim
- c925777075/yolov5-dnf - dnf?style=social"/> : yolov5-DNF.
- davidhoung2/APEX-yolov5-aim-assist - yolov5-aim-assist?style=social"/> : using yolov5 to help you aim enemies.
- Brednan/CSGO-Aimbot - Aimbot?style=social"/> : Aimbot for the FPS game CSGO. It uses YOLOv5 to detect enemy players on my screen, then moves my cursor to the location.
- SunOner/sunone_aimbot - bot based on AI for all FPS games. [boosty.to/sunone](https://boosty.to/sunone)
- Passer1072/RookieAI_yolov8 - aiming project based on yolov8.
- petercunha/Pine - time object detection with neural networks, GPU accelerated with Nvidia. Optimized for use with CS:GO.
- chaoyu1999/FPSAutomaticAiming
- kir486680/csgo_aim
- c925777075/yolov5-dnf - dnf?style=social"/> : yolov5-DNF.
- davidhoung2/APEX-yolov5-aim-assist - yolov5-aim-assist?style=social"/> : using yolov5 to help you aim enemies.
- Brednan/CSGO-Aimbot - Aimbot?style=social"/> : Aimbot for the FPS game CSGO. It uses YOLOv5 to detect enemy players on my screen, then moves my cursor to the location.
- 2319590263/yolov5-csgo - csgo?style=social"/> : 基于yolov5实现的csgo自瞄。
- SCRN-VRC/YOLOv4-Tiny-in-UnityCG-HLSL - VRC/YOLOv4-Tiny-in-UnityCG-HLSL?style=social"/> : A modern object detector inside fragment shaders.
- qcjxs-hn/yolov5-csgo - hn/yolov5-csgo?style=social"/> : 这是一个根据教程写的csgo-ai和我自己训练的模型，还有数据集。
- Sequoia - made dataset (csgo-data-collector).
- ItGarbager/aimcf_yolov5
- jiaran-takeme/Target-Detection-for-CSGO-by-YOLOv5 - takeme/Target-Detection-for-CSGO-by-YOLOv5?style=social"/> : Target Detection for CSGO by YOLOv5.
- Lucid1ty/Yolov5ForCSGO
- 2319590263/yolov5-csgo - csgo?style=social"/> : 基于yolov5实现的csgo自瞄。
- SCRN-VRC/YOLOv4-Tiny-in-UnityCG-HLSL - VRC/YOLOv4-Tiny-in-UnityCG-HLSL?style=social"/> : A modern object detector inside fragment shaders.
- qcjxs-hn/yolov5-csgo - hn/yolov5-csgo?style=social"/> : 这是一个根据教程写的csgo-ai和我自己训练的模型，还有数据集。
- Sequoia - made dataset (csgo-data-collector).
- ItGarbager/aimcf_yolov5
- jiaran-takeme/Target-Detection-for-CSGO-by-YOLOv5 - takeme/Target-Detection-for-CSGO-by-YOLOv5?style=social"/> : Target Detection for CSGO by YOLOv5.
- Lucid1ty/Yolov5ForCSGO
- leo4048111/Yolov5-LabelMaker-For-CSGO - LabelMaker-For-CSGO?style=social"/> : A simple tool for making CSGO dataset in YOLO format.
- soloist-v/AutoStrike - v/AutoStrike?style=social"/> : 使用yolov5自动瞄准，支持fps游戏鼠标移动控制需要自行调整。
- slyautomation/osrs_yolov5 - Botting.
- HarunoWindy/yolo-games-weights - games-weights?style=social"/> : YOLOv5 vision deep-learning on detect games UI (current support: onmyoji) YOLOv5深度学习识别游戏UI(目前支持：阴阳师).
- mrathena/python.yolo.csgo.autoaim.helper
- Aa-bN/AimYolo - bN/AimYolo?style=social"/> : AI外挂——基于YOLOv5的射击类游戏瞄准辅助。An AI plug-in - targeting aid for shooting games based on YOLOv5.
- MistyAI/MistyFN
- leo4048111/Yolov5-LabelMaker-For-CSGO - LabelMaker-For-CSGO?style=social"/> : A simple tool for making CSGO dataset in YOLO format.
- soloist-v/AutoStrike - v/AutoStrike?style=social"/> : 使用yolov5自动瞄准，支持fps游戏鼠标移动控制需要自行调整。
- slyautomation/osrs_yolov5 - Botting.
- HarunoWindy/yolo-games-weights - games-weights?style=social"/> : YOLOv5 vision deep-learning on detect games UI (current support: onmyoji) YOLOv5深度学习识别游戏UI(目前支持：阴阳师).
- mrathena/python.yolo.csgo.autoaim.helper
- Aa-bN/AimYolo - bN/AimYolo?style=social"/> : AI外挂——基于YOLOv5的射击类游戏瞄准辅助。An AI plug-in - targeting aid for shooting games based on YOLOv5.
- Label Studio - studio?style=social"/> : Label Studio is a multi-type data labeling and annotation tool with standardized output format. [labelstud.io](https://labelstud.io/)
- AnyLabeling - assisted data labeling with AI support from YOLO, Segment Anything, MobileSAM!! [anylabeling.nrl.ai](https://anylabeling.nrl.ai/)
- MistyAI/MistyFN
- suixin1424/crossfire-yolo-TensorRT - yolo-TensorRT?style=social"/> : crossfire-yolo-TensorRT. 基于yolo-trt的穿越火线ai自瞄。
- EthanH3514/AL_Yolo
- bigQY/calabiyau-cheat - cheat?style=social"/> : 基于yolov10的卡拉彼丘自瞄。
- Label Anything - mmlab/playground?style=social"/> : OpenMMLab PlayGround: Semi-Automated Annotation with Label-Studio and SAM.
- labelme - level flag annotation).
- DarkLabel
- AlexeyAB/Yolo_mark
- Cartucho/OpenLabeling
- suixin1424/crossfire-yolo-TensorRT - yolo-TensorRT?style=social"/> : crossfire-yolo-TensorRT. 基于yolo-trt的穿越火线ai自瞄。
- EthanH3514/AL_Yolo
- Label Studio - studio?style=social"/> : Label Studio is a multi-type data labeling and annotation tool with standardized output format. [labelstud.io](https://labelstud.io/)
- AnyLabeling - assisted data labeling with AI support from YOLO, Segment Anything, MobileSAM!! [anylabeling.nrl.ai](https://anylabeling.nrl.ai/)
- X-AnyLabeling - AnyLabeling?style=social"/> : 💫 X-AnyLabeling 💫. X-AnyLabeling：一款多 SOTA 模型集成的高级自动标注工具！ Effortless data labeling with AI support from Segment Anything and other awesome models.
- Label Anything - mmlab/playground?style=social"/> : OpenMMLab PlayGround: Semi-Automated Annotation with Label-Studio and SAM.
- labelme - level flag annotation).
- DarkLabel
- AlexeyAB/Yolo_mark
- Cartucho/OpenLabeling
- CVAT - ai/cvat?style=social"/> : Computer Vision Annotation Tool (CVAT). Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.
- VoTT
- WangRongsheng/KDAT
- CVAT - ai/cvat?style=social"/> : Computer Vision Annotation Tool (CVAT). Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.
- VoTT
- WangRongsheng/KDAT
- Rectlabel-support - support?style=social"/> : RectLabel - An image annotation tool to label images for bounding box object detection and segmentation.
- CVUsers/Auto_maker
- MyVision
- wufan-tb/AutoLabelImg - tb/AutoLabelImg?style=social"/> : auto-labelimg based on yolov5, with many other useful tools. AutoLabelImg 多功能自动标注工具。
- MrZander/YoloMarkNet
- mahxn0/Yolov3_ForTextLabel
- MNConnor/YoloV5-AI-Label - AI-Label?style=social"/> : YoloV5 AI Assisted Labeling.
- LILINOpenGitHub/Labeling-Tool - Tool?style=social"/> : Free YOLO AI labeling tool. YOLO AI labeling tool is a Windows app for labeling YOLO dataset.
- 2vin/yolo_annotation_tool
- whs0523003/YOLOv5_6.1_autolabel
- 2vin/PyYAT - Automatic Yolo Annotation Tool In Python.
- AlturosDestinations/Alturos.ImageAnnotation
- stephanecharette/DarkMark
- sanfooh/quick_yolo2_label_tool
- pylabel-project/pylabel - project/pylabel?style=social"/> : Python library for computer vision labeling tasks. The core functionality is to translate bounding box annotations between different formats-for example, from coco to yolo.
- opendatalab/labelU
- pooya-mohammadi/yolov5-gradcam - mohammadi/yolov5-gradcam?style=social"/> : Visualizing Yolov5's layers using GradCam.
- TorchCAM - cam?style=social"/> : Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM).
- Him-wen/OD_Heatmap - wen/OD_Heatmap?style=social"/> : Heatmap visualization of the YOLO model using the Grad-CAM heatmap visualization method can Intuitively show which regions in the image contribute the most to the category classification.
- Rectlabel-support - support?style=social"/> : RectLabel - An image annotation tool to label images for bounding box object detection and segmentation.
- CVUsers/Auto_maker
- MyVision
- wufan-tb/AutoLabelImg - tb/AutoLabelImg?style=social"/> : auto-labelimg based on yolov5, with many other useful tools. AutoLabelImg 多功能自动标注工具。
- MrZander/YoloMarkNet
- mahxn0/Yolov3_ForTextLabel
- MNConnor/YoloV5-AI-Label - AI-Label?style=social"/> : YoloV5 AI Assisted Labeling.
- whs0523003/YOLOv5_6.1_autolabel
- 2vin/PyYAT - Automatic Yolo Annotation Tool In Python.
- AlturosDestinations/Alturos.ImageAnnotation
- stephanecharette/DarkMark
- 2vin/yolo_annotation_tool
- pylabel-project/pylabel - project/pylabel?style=social"/> : Python library for computer vision labeling tasks. The core functionality is to translate bounding box annotations between different formats-for example, from coco to yolo.
- opendatalab/labelU
- pooya-mohammadi/yolov5-gradcam - mohammadi/yolov5-gradcam?style=social"/> : Visualizing Yolov5's layers using GradCam.
- TorchCAM - cam?style=social"/> : Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM).
- Him-wen/OD_Heatmap - wen/OD_Heatmap?style=social"/> : Heatmap visualization of the YOLO model using the Grad-CAM heatmap visualization method can Intuitively show which regions in the image contribute the most to the category classification.
- rafaelpadilla/review_object_detection_metrics - Temporal Tube Average Precision (STT-AP). This project supports different bounding box formats as in COCO, PASCAL, Imagenet, etc. "A Comparative Analysis of Object Detection Metrics with a Companion Open-Source Toolkit". (**[Electronics 2021](https://www.mdpi.com/2079-9292/10/3/279)**)
- rafaelpadilla/Object-Detection-Metrics - Detection-Metrics?style=social"/> : Most popular metrics used to evaluate object detection algorithms. "A Survey on Performance Metrics for Object-Detection Algorithms". (**[IWSSIP 2020](https://ieeexplore.ieee.org/abstract/document/9145130)**)
- Cartucho/mAP - This code evaluates the performance of your neural net for object recognition.
- rafaelpadilla/review_object_detection_metrics - Temporal Tube Average Precision (STT-AP). This project supports different bounding box formats as in COCO, PASCAL, Imagenet, etc. "A Comparative Analysis of Object Detection Metrics with a Companion Open-Source Toolkit". (**[Electronics 2021](https://www.mdpi.com/2079-9292/10/3/279)**)
- rafaelpadilla/Object-Detection-Metrics - Detection-Metrics?style=social"/> : Most popular metrics used to evaluate object detection algorithms. "A Survey on Performance Metrics for Object-Detection Algorithms". (**[IWSSIP 2020](https://ieeexplore.ieee.org/abstract/document/9145130)**)
- Cartucho/mAP - This code evaluates the performance of your neural net for object recognition.
- open-mmlab/mmeval - mmlab/mmeval?style=social"/> : MMEval is a machine learning evaluation library that supports efficient and accurate distributed evaluation on a variety of machine learning frameworks.
- laclouis5/globox
- ultralytics/yolo-ios-app - ios-app?style=social"/> : Ultralytics YOLO iOS App source code for running YOLOv8 in your own iOS apps 🌟. [ultralytics.com/yolo](https://ultralytics.com/yolo)
- ultralytics/yolo-flutter-app - flutter-app?style=social"/> : A Flutter plugin for Ultralytics YOLO computer vision models. [ultralytics.com](https://ultralytics.com/)
- hiennguyen92/flutter_realtime_object_detection - time object detection with Tensorflow Lite.
- wjnwjn59/YOLOv10_Streamlit_Demo
- rampal-punia/yolov8-streamlit-detection-tracking - punia/yolov8-streamlit-detection-tracking?style=social"/> : Object detection and tracking algorithm implemented for Real-Time video streams and static images.
- JackDance/YOLOv8-streamlit-app - streamlit-app?style=social"/> : 🔥🔥🔥 Use streamlit framework to increase yolov8 front-end page interaction function. "知乎「Mr.Luyao」《[深度学习/机器学习项目的前端展示利器--Streamlit](https://zhuanlan.zhihu.com/p/630029493)》"。
- open-mmlab/mmeval - mmlab/mmeval?style=social"/> : MMEval is a machine learning evaluation library that supports efficient and accurate distributed evaluation on a variety of machine learning frameworks.
- laclouis5/globox
- ultralytics/yolo-ios-app - ios-app?style=social"/> : Ultralytics YOLO iOS App source code for running YOLOv8 in your own iOS apps 🌟. [ultralytics.com/yolo](https://ultralytics.com/yolo)
- ultralytics/yolo-flutter-app - flutter-app?style=social"/> : A Flutter plugin for Ultralytics YOLO computer vision models. [ultralytics.com](https://ultralytics.com/)
- hiennguyen92/flutter_realtime_object_detection - time object detection with Tensorflow Lite.
- wjnwjn59/YOLOv10_Streamlit_Demo
- rampal-punia/yolov8-streamlit-detection-tracking - punia/yolov8-streamlit-detection-tracking?style=social"/> : Object detection and tracking algorithm implemented for Real-Time video streams and static images.
- JackDance/YOLOv8-streamlit-app - streamlit-app?style=social"/> : 🔥🔥🔥 Use streamlit framework to increase yolov8 front-end page interaction function. "知乎「Mr.Luyao」《[深度学习/机器学习项目的前端展示利器--Streamlit](https://zhuanlan.zhihu.com/p/630029493)》"。
- xugaoxiang/yolov5-streamlit - streamlit?style=social"/> : Deploy YOLOv5 detection with Streamlit.
- Kedreamix/YoloGesture
- KdaiP/yolov8-deepsort-tracking - deepsort-tracking?style=social"/> : opencv+yolov8+deepsort行人检测与跟踪,以及可选的WebUI界面（基于gradio）。
- pengxiang1998/YOLOv8
- parker-int64/yolov5-RGBD - int64/yolov5-RGBD?style=social"/> : Qt QML based yolov5 + RGBD camera program.
- Aimol-l/qml_with_yolov7 - l/qml_with_yolov7?style=social"/> : 用YOLOV7+ByteTrack的方法识别视频/视频流，用QML绘制GUI，并带有统计信息。
- Javacr/PyQt5-YOLOv5 - YOLOv5?style=social"/> : YOLOv5检测界面-PyQt5实现。
- zstar1003/yolov5_pyqt5
- scutlrr/Yolov4-QtGUI - QtGUI?style=social"/> : Yolov4-QtGUI是基于[QtGuiDemo](https://github.com/jmu201521121021/QtGuiDemo)项目开发的可视化目标检测界面，可以简便选择本地图片、摄像头来展示图像处理算法的结果。
- xugaoxiang/yolov5-pyqt5 - pyqt5?style=social"/> : 给yolov5加个gui界面，使用pyqt5，yolov5是5.0版本。
- xugaoxiang/yolov5-streamlit - streamlit?style=social"/> : Deploy YOLOv5 detection with Streamlit.
- Kedreamix/YoloGesture
- KdaiP/yolov8-deepsort-tracking - deepsort-tracking?style=social"/> : opencv+yolov8+deepsort行人检测与跟踪,以及可选的WebUI界面（基于gradio）。
- parker-int64/yolov5-RGBD - int64/yolov5-RGBD?style=social"/> : Qt QML based yolov5 + RGBD camera program.
- scutlrr/Yolov4-QtGUI - QtGUI?style=social"/> : Yolov4-QtGUI是基于[QtGuiDemo](https://github.com/jmu201521121021/QtGuiDemo)项目开发的可视化目标检测界面，可以简便选择本地图片、摄像头来展示图像处理算法的结果。
- Aimol-l/qml_with_yolov7 - l/qml_with_yolov7?style=social"/> : 用YOLOV7+ByteTrack的方法识别视频/视频流，用QML绘制GUI，并带有统计信息。
- Javacr/PyQt5-YOLOv5 - YOLOv5?style=social"/> : YOLOv5检测界面-PyQt5实现。
- zstar1003/yolov5_pyqt5
- xugaoxiang/yolov5-pyqt5 - pyqt5?style=social"/> : 给yolov5加个gui界面，使用pyqt5，yolov5是5.0版本。
- mxy493/YOLOv5-Qt - Qt?style=social"/> : 基于YOLOv5的GUI程序，支持选择要使用的权重文件，设置是否使用GPU，设置置信度阈值等参数。
- BonesCat/YoloV5_PyQt5
- mxy493/YOLOv5-Qt - Qt?style=social"/> : 基于YOLOv5的GUI程序，支持选择要使用的权重文件，设置是否使用GPU，设置置信度阈值等参数。
- BonesCat/YoloV5_PyQt5
- PySimpleGUI/PySimpleGUI-YOLO - YOLO?style=social"/> : A YOLO Artificial Intelligence algorithm demonstration using PySimpleGUI.
- FatemeZamanian/Yolov5-Fruit-Detector - Fruit-Detector?style=social"/> : A program to recognize fruits on pictures or videos using yolov5.
- BioMeasure/PyQt5_YoLoV5_DeepSort
- PySimpleGUI/PySimpleGUI-YOLO - YOLO?style=social"/> : A YOLO Artificial Intelligence algorithm demonstration using PySimpleGUI.
- prabindh/qt5-opencv3-darknet - opencv3-darknet?style=social"/> : Qt5 + Darknet/Yolo + OpenCV3.
- GinkgoX/YOLOv3GUI_Pytorch_PyQt5
- FatemeZamanian/Yolov5-Fruit-Detector - Fruit-Detector?style=social"/> : A program to recognize fruits on pictures or videos using yolov5.
- BioMeasure/PyQt5_YoLoV5_DeepSort
- Whu-wxy/yolov5_deepsort_ncnn_qt - wxy/yolov5_deepsort_ncnn_qt?style=social"/> : 用ncnn调用yolov5和deep sort模型，opencv读取视频。
- jeswanthgalla/PyQt4_GUI_darknet_yolov4
- barleo01/yoloobjectdetector
- Eagle104fred/PyQt5-Yolov5 - Yolov5?style=social"/> : 把YOLOv5的视频显示到pyqt5ui上。
- cnyvfang/YOLOv5-GUI - Yolov5?style=social"/> : Qt-GUI implementation of the YOLOv5 algorithm (ver.6 and ver.5). YOLOv5算法(ver.6及ver.5)的Qt-GUI实现。
- WeNN-Artificial-Intelligence/PyQT-Object-Detection-App - Artificial-Intelligence/PyQT-Object-Detection-App?style=social"/> : Real-time object detection app with Python and PyQt framework.
- Powercube7/YOLOv5-GUI - GUI?style=social"/> : A simple GUI made for creating jobs in YOLOv5.
- cdmstrong/yolov5-pyqt-moke - pyqt-moke?style=social"/> : 利用yolov5和pyqt做可视化检测。
- GHigher12/Pyqt5_yolov5_unet_centernet
- chenanga/qt5_yolov5_2.0 - 第一次优化后的版本。
- xun-xh/yolov5-onnx-pyqt-exe - xh/yolov5-onnx-pyqt-exe?style=social"/> : 基于Yolov5 + PyQt5 + onnxruntime的目标检测部署。
- smartwj/yolov5_pyqt5
- LPC1616/pyqt-yolox-modbus - yolox-modbus?style=social"/> : qt界面+yolox识别算法+modbus通信。
- zawawiAI/yolo_gpt - 3 language generation model.
- LSH9832/yolov5_training_tool - 20.04试运行。
- Egrt/YOLO_PyQt5
- LitChi-bit/YOLOv5-6.0-GUI - bit/YOLOv5-6.0-GUI?style=social"/> : Qt-GUI implementation of the YOLOv5 algorithm (ver.6).
- BraunGe/YOLOv5-GUI - GUI?style=social"/> : A GUI for YOLOv5, support all the 11 inference formats that YOLOv5 supports.
- PetervanLunteren/EcoAssist - code platform to train and deploy YOLOv5 object detection models.
- SwimmingLiu/yolov7-Pyside6 - Pyside6?style=social"/> : PySide6 implementation of YOLOv7 GUI.
- JSwimmingLiu/YOLOSHOW - YOLOv10 / YOLOv9 / YOLOv8 / YOLOv7 / YOLOv5 / RTDETR GUI based on Pyside6.[swimmingliu.cn/posts/diary/yoloshow](https://swimmingliu.cn/posts/diary/yoloshow)
- Jai-wei/YOLOv8-PySide6-GUI - wei/YOLOv8-PySide6-GUI?style=social"/> : YoloSide - YOLOv8 GUI By PySide6.
- Ikomia-dev/IkomiaApi - dev/IkomiaApi?style=social"/> : State-of-the-art algorithms in Computer Vision with a few lines of code.
- penny4860/Yolo-digit-detector - digit-detector?style=social"/> : Implemented digit detector in natural scene using resnet50 and Yolo-v2. I used SVHN as the training set, and implemented it using tensorflow and keras.
- chineseocr/table-detect - detect?style=social"/> : table detect(yolo) , table line(unet) （表格检测/表格单元格定位）。
- javirk/Person_remover
- cnyvfang/YOLOv5-GUI - Yolov5?style=social"/> : Qt-GUI implementation of the YOLOv5 algorithm (ver.6 and ver.5). YOLOv5算法(ver.6及ver.5)的Qt-GUI实现。
- WeNN-Artificial-Intelligence/PyQT-Object-Detection-App - Artificial-Intelligence/PyQT-Object-Detection-App?style=social"/> : Real-time object detection app with Python and PyQt framework.
- Whu-wxy/yolov5_deepsort_ncnn_qt - wxy/yolov5_deepsort_ncnn_qt?style=social"/> : 用ncnn调用yolov5和deep sort模型，opencv读取视频。
- jeswanthgalla/PyQt4_GUI_darknet_yolov4
- barleo01/yoloobjectdetector
- Eagle104fred/PyQt5-Yolov5 - Yolov5?style=social"/> : 把YOLOv5的视频显示到pyqt5ui上。
- Powercube7/YOLOv5-GUI - GUI?style=social"/> : A simple GUI made for creating jobs in YOLOv5.
- cdmstrong/yolov5-pyqt-moke - pyqt-moke?style=social"/> : 利用yolov5和pyqt做可视化检测。
- GHigher12/Pyqt5_yolov5_unet_centernet
- chenanga/qt5_yolov5_2.0 - 第一次优化后的版本。
- zawawiAI/yolo_gpt - 3 language generation model.
- LSH9832/yolov5_training_tool - 20.04试运行。
- Egrt/YOLO_PyQt5
- JSwimmingLiu/YOLOSHOW - YOLOv10 / YOLOv9 / YOLOv8 / YOLOv7 / YOLOv5 / RTDETR GUI based on Pyside6.[swimmingliu.cn/posts/diary/yoloshow](https://swimmingliu.cn/posts/diary/yoloshow)
- Jai-wei/YOLOv8-PySide6-GUI - wei/YOLOv8-PySide6-GUI?style=social"/> : YoloSide - YOLOv8 GUI By PySide6.
- smartwj/yolov5_pyqt5
- LitChi-bit/YOLOv5-6.0-GUI - bit/YOLOv5-6.0-GUI?style=social"/> : Qt-GUI implementation of the YOLOv5 algorithm (ver.6).
- BraunGe/YOLOv5-GUI - GUI?style=social"/> : A GUI for YOLOv5, support all the 11 inference formats that YOLOv5 supports.
- PetervanLunteren/EcoAssist - code platform to train and deploy YOLOv5 object detection models.
- SwimmingLiu/yolov7-Pyside6 - Pyside6?style=social"/> : PySide6 implementation of YOLOv7 GUI.
- Ikomia-dev/IkomiaApi - dev/IkomiaApi?style=social"/> : State-of-the-art algorithms in Computer Vision with a few lines of code.
- penny4860/Yolo-digit-detector - digit-detector?style=social"/> : Implemented digit detector in natural scene using resnet50 and Yolo-v2. I used SVHN as the training set, and implemented it using tensorflow and keras.
- chineseocr/table-detect - detect?style=social"/> : table detect(yolo) , table line(unet) （表格检测/表格单元格定位）。
- javirk/Person_remover
- foschmitz/yolo-python-rtsp - python-rtsp?style=social"/> : Object detection using deep learning with Yolo, OpenCV and Python via Real Time Streaming Protocol (RTSP).
- 008karan/PAN_OCR
- foschmitz/yolo-python-rtsp - python-rtsp?style=social"/> : Object detection using deep learning with Yolo, OpenCV and Python via Real Time Streaming Protocol (RTSP).
- ismail-mebsout/Parsing-PDFs-using-YOLOV3 - mebsout/Parsing-PDFs-using-YOLOV3?style=social"/> : Parsing pdf tables using YOLOV3.
- 008karan/PAN_OCR
- zeyad-mansour/lunar - mansour/lunar?style=social"/> : Lunar is a neural network aimbot that uses real-time object detection accelerated with CUDA on Nvidia GPUs.
- zeyad-mansour/lunar - mansour/lunar?style=social"/> : Lunar is a neural network aimbot that uses real-time object detection accelerated with CUDA on Nvidia GPUs.
- lannguyen0910/food-recognition - recognition?style=social"/> : 🍔🍟🍗 Food analysis baseline with Theseus. Integrate object detection, image classification and multi-class semantic segmentation. 🍞🍖🍕
- killnice/yolov5-D435i - D435i?style=social"/> : using yolov5 and realsense D435i.
- SahilChachra/Video-Analytics-Dashboard - Analytics-Dashboard?style=social"/> : Video Analytics dashboard built using YoloV5 and Streamlit.
- isLinXu/YOLOv5_Efficient
- Badw0lf613/wmreading_system
- ErenKaymakci/Real-Time-QR-Detection-and-Decoding - Time-QR-Detection-and-Decoding?style=social"/> : This repo explain how qr codes works, qr detection and decoding.
- LUMAIS/AntDet_YOLOv5
- Jiseong-Ok/OCR-Yolov5-SwinIR-SVTR - Ok/OCR-Yolov5-SwinIR-SVTR?style=social"/> : OCR(Korean).
- QIN2DIM/hcaptcha-challenger - challenger?style=social"/> : 🥂 Gracefully face hCaptcha challenge with YOLOv6(ONNX) embedded solution.
- RizwanMunawar/yolov7-object-cropping - object-cropping?style=social"/> : YOLOv7 Object Cropping Using OpenCV.
- RizwanMunawar/yolov7-object-blurring - object-blurring?style=social"/> : YOLOv7 Object Blurring Using PyTorch and OpenCV.
- pacocp/YOLOF
- FabianPlum/OmniTrax - based multi animal tracking and pose estimation Blender Add-on.
- ozankaraali/yolov3-recaptcha - recaptcha?style=social"/> : Solve Recaptcha with YoloV3. A proof of concept Recaptcha solver using YOLOv3 on Tensorflow 2.0 and Selenium. This tutorial shows that with a better trained object detection weight file, ReCaptcha can be easily solved.
- jyp-studio/Invoice_detection - studio/Invoice_detection?style=social"/> : This is an AI model for detecting and recognizing invoice information by yolov5 and OCR.
- vmc-7645/YOLOv8-retail - 7645/YOLOv8-retail?style=social"/> : Detect retail products via the YOLOv8 object recognition engine.
- lannguyen0910/food-recognition - recognition?style=social"/> : 🍔🍟🍗 Food analysis baseline with Theseus. Integrate object detection, image classification and multi-class semantic segmentation. 🍞🍖🍕
- killnice/yolov5-D435i - D435i?style=social"/> : using yolov5 and realsense D435i.
- SahilChachra/Video-Analytics-Dashboard - Analytics-Dashboard?style=social"/> : Video Analytics dashboard built using YoloV5 and Streamlit.
- isLinXu/YOLOv5_Efficient
- Badw0lf613/wmreading_system
- ErenKaymakci/Real-Time-QR-Detection-and-Decoding - Time-QR-Detection-and-Decoding?style=social"/> : This repo explain how qr codes works, qr detection and decoding.
- LUMAIS/AntDet_YOLOv5
- Jiseong-Ok/OCR-Yolov5-SwinIR-SVTR - Ok/OCR-Yolov5-SwinIR-SVTR?style=social"/> : OCR(Korean).
- bobjiangps/vision
- RizwanMunawar/yolov7-object-cropping - object-cropping?style=social"/> : YOLOv7 Object Cropping Using OpenCV.
- RizwanMunawar/yolov7-object-blurring - object-blurring?style=social"/> : YOLOv7 Object Blurring Using PyTorch and OpenCV.
- pacocp/YOLOF
- FabianPlum/OmniTrax - based multi animal tracking and pose estimation Blender Add-on.
- ozankaraali/yolov3-recaptcha - recaptcha?style=social"/> : Solve Recaptcha with YoloV3. A proof of concept Recaptcha solver using YOLOv3 on Tensorflow 2.0 and Selenium. This tutorial shows that with a better trained object detection weight file, ReCaptcha can be easily solved.
- jyp-studio/Invoice_detection - studio/Invoice_detection?style=social"/> : This is an AI model for detecting and recognizing invoice information by yolov5 and OCR.
- vmc-7645/YOLOv8-retail - 7645/YOLOv8-retail?style=social"/> : Detect retail products via the YOLOv8 object recognition engine.
- TAber-W/RM_4-points_yolov5 - W/RM_4-points_yolov5?style=social"/> : Robomaster 基于yoloface和MobileNet修改的四点模型.
- eternal-echo/picking - echo/picking?style=social"/> : 基于YOLO v5视觉分拣零件系统设计。
- swordswind/yolo_ocr_api_server
- eternal-echo/picking - echo/picking?style=social"/> : 基于YOLO v5视觉分拣零件系统设计。
- swordswind/yolo_ocr_api_server
- mikel-brostrom/Yolov7_StrongSORT_OSNet - brostrom/Yolov7_StrongSORT_OSNet?style=social"/> : Real-time multi-camera multi-object tracker using YOLOv7 and StrongSORT with OSNet.
- zyds/yolov5-code - code?style=social"/> : 手把手带你实战 YOLOv5。
- JackWoo0831/Yolov7-tracker - tracker?style=social"/> : Yolo v7 and several Multi-Object Tracker(SORT, DeepSORT, ByteTrack, BoT-SORT, etc.) in VisDrone2019 Dataset. It uses a unified style and integrated tracker for easy embedding in your own projects. YOLOv7 + 各种tracker实现多目标跟踪。
- Sharpiless/Yolov5-deepsort-inference - deepsort-inference?style=social"/> : 使用YOLOv5+Deepsort实现车辆行人追踪和计数，代码封装成一个Detector类，更容易嵌入到自己的项目中。
- mattzheng/keras-yolov3-KF-objectTracking - yolov3-KF-objectTracking?style=social"/> : 以kears-yolov3做detector，以Kalman-Filter算法做tracker，进行多人物目标追踪。
- Naughty-Galileo/YoloV5_MCMOT - Galileo/YoloV5_MCMOT?style=social"/> : 多类别多目标跟踪YoloV5+sort/deepsort/bytetrack/BotSort/motdt.
- icns-distributed-cloud/adaptive-cruise-control - distributed-cloud/adaptive-cruise-control?style=social"/> : YOLO-v5 기반 "단안 카메라"의 영상을 활용해 차간 거리를 일정하게 유지하며 주행하는 Adaptive Cruise Control 기능 구현.
- xmu-xiaoma666/External-Attention-pytorch - xiaoma666/External-Attention-pytorch?style=social"/> : 🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐.
- kay-cottage/CoordAttention_YOLOX_Pytorch - cottage/CoordAttention_YOLOX_Pytorch?style=social"/> : CoordAttention_YOLOX(基于CoordAttention坐标注意力机制的改进版YOLOX目标检测平台）。 "Coordinate Attention for Efficient Mobile Network Design". (**[CVPR 2021](https://openaccess.thecvf.com/content/CVPR2021/html/Hou_Coordinate_Attention_for_Efficient_Mobile_Network_Design_CVPR_2021_paper.html), [ Andrew-Qibin/CoordAttention](https://github.com/Andrew-Qibin/CoordAttention)**)
- RFLA - Tsui/mmdet-rfla?style=social"/> : "RFLA: Gaussian Receptive Field based Label Assignment for Tiny Object Detection". (**[ECCV 2022](https://arxiv.org/abs/2208.08738)**). "微信公众号「CV技术指南」《[ECCV 2022 | RFLA：基于高斯感受野的微小目标检测标签分配](https://mp.weixin.qq.com/s/h0J775I3D6zoTIeaJRnFgQ)》"
- muyuuuu/Self-Supervise-Object-Detection - Supervise-Object-Detection?style=social"/> : Self-Supervised Object Detection. 水面漂浮垃圾目标检测，分析源码改善 yolox 检测小目标的缺陷，提出自监督算法预训练无标签数据，提升检测性能。
- hpc203/rotateyolov5-opencv-onnxrun - opencv-onnxrun?style=social"/> : 分别使用OpenCV，ONNXRuntime部署yolov5旋转目标检测，包含C++和Python两个版本的程序。
- hpc203/10kinds-light-face-detector-align-recognition - light-face-detector-align-recognition?style=social"/> : 10种轻量级人脸检测算法的比拼，其中还包含人脸关键点检测与对齐，人脸特征向量提取和计算距离相似度。
- Kevinnan-teen/Intelligent-Traffic-Based-On-CV - teen/Intelligent-Traffic-Based-On-CV?style=social"/> : 基于计算机视觉的交通路口智能监控系统。
- CaptainEven/Vehicle-Car-detection-and-multilabel-classification - Car-detection-and-multilabel-classification?style=social"/> : 使用YOLO_v3_tiny和B-CNN实现街头车辆的检测和车辆属性的多标签识别 Using yolo_v3_tiny to do vehicle or car detection and attribute's multilabel classification or recognize。
- Ai-trainee/Traffic-Sign-Recognition-PyQt5-YOLOv5-GUI - trainee/Traffic-Sign-Recognition-PyQt5-YOLOv5-GUI?style=social"/> : Road Sign Recognition Project Based on YOLOv5. This is a road sign recognition project based on YOLOv5, developed with a PyQt5 interface, YOLOv5 trained model, and MySQL database. 这是一个基于YOLOv5🚀的道路标志识别系统😊，使用了MySQL数据库💽，PyQt5进行界面设计🎨，PyTorch深度学习框架和TensorRT进行加速⚡，同时包含了CSS样式🌈。系统由五个主要模块组成：系统登录模块🔑负责用户登陆；初始化参数模块📋提供YOLOv5模型的初始化参数设置；标志识别模块🔍是系统的核心，负责对道路标志进行识别并将结果导入数据库；数据库模块💾包含基本数据库操作和数据分析两个子模块；图像处理模块🖼️负责单个图像的处理和数据增强。整个系统支持多种数据输入和模型切换，提供了包括mossic和mixup在内的图像增强方法📈。
- Byronnar/tensorflow-serving-yolov3 - serving-yolov3?style=social"/> : 对原tensorflow-yolov3版本做了许多细节上的改进，增加了TensorFlow-Serving工程部署，训练了多个数据集，包括Visdrone2019, 安全帽等。
- Anti-UAV - UAV?style=social"/> : 🔥🔥Official Repository for Anti-UAV🔥🔥. "Evidential Detection and Tracking Collaboration: New Problem, Benchmark and Algorithm for Robust Anti-UAV System". (**[arXiv 2023](https://arxiv.org/abs/2306.15767)**)
- Image-Adaptive YOLO - Adaptive-YOLO?style=social"/> : "Image-Adaptive YOLO for Object Detection in Adverse Weather Conditions". (**[AAAI 2022](https://arxiv.org/abs/2112.08088)**). "计算机视觉研究院：《[图像自适应YOLO：模糊环境下的目标检测（附源代码）](https://mp.weixin.qq.com/s/QdM6Dx990VhN97MRIP74XA)》"
- Lu-tju/CSGO_AI - tju/CSGO_AI?style=social"/> : 基于YOLOv3的csgo自瞄。
- X-AnyLabeling - AnyLabeling?style=social"/> : 💫 X-AnyLabeling 💫. X-AnyLabeling：一款多 SOTA 模型集成的高级自动标注工具！ Effortless data labeling with AI support from Segment Anything and other awesome models.
- cnyvfang/labelGo-Yolov5AutoLabelImg - Yolov5AutoLabelImg?style=social"/> : 💕YOLOV5 semi-automatic annotation tool (Based on labelImg)💕一个基于labelImg及YOLOV5的图形化半自动标注工具。
- Arrowes/CEAM-YOLOv7 - YOLOv7?style=social"/> : CEAM-YOLOv7: Improved YOLOv7 Based on Channel Expansion and Attention Mechanism for Driver Distraction Behavior Detection.
- mikel-brostrom/Yolov7_StrongSORT_OSNet - brostrom/Yolov7_StrongSORT_OSNet?style=social"/> : Real-time multi-camera multi-object tracker using YOLOv7 and StrongSORT with OSNet.
- Arrowes/CEAM-YOLOv7 - YOLOv7?style=social"/> : "CEAM-YOLOv7:Improved YOLOv7 Based on Channel Expansion and Attention Mechanism for Driver Distraction Behavior Detection". (**[IEEE Access, 2022](https://ieeexplore.ieee.org/abstract/document/9980374/)**).
- Autodistill
- GroundingDINO - Research/GroundingDINO?style=social"/> : "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection". (**[ECCV 2024](https://arxiv.org/abs/2303.05499)**).
- DOSOD - Robotics-AI-Lab/DOSOD?style=social"/> : "A Light-Weight Framework for Open-Set Object Detection with Decoupled Feature Alignment in Joint Space". (**[arXiv 2024](https://arxiv.org/abs/2412.14680)**).
- Psynosaur/Jetson-SecVision - SecVision?style=social"/> : Person detection for Hikvision DVR with AlarmIO ports, uses TensorRT and yolov4.
- DINO - Research/DINO?style=social"/> : "DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection". (**[ICLR 2023](https://arxiv.org/abs/2203.03605)**).
- CVPR 2024
- maestro - tuning for everyone. maestro is a streamlined tool to accelerate the fine-tuning of multimodal models. By encapsulating best practices from our core modules, maestro handles configuration, data loading, reproducibility, and training loop setup. It currently offers ready-to-use recipes for popular vision-language models such as [Florence-2](https://arxiv.org/abs/2311.06242), PaliGemma 2, and [Qwen2.5-VL](https://github.com/QwenLM/Qwen2.5-VL). [maestro.roboflow.com](https://maestro.roboflow.com/latest/)
Extensional Frameworks
- EasyCV - in-one toolkit for computer vision. "YOLOX-PAI: An Improved YOLOX, Stronger and Faster than YOLOv6". (**[arXiv 2022](https://arxiv.org/abs/2208.13040)**). "微信公众号「集智书童」《[YOLOX升级 | 阿里巴巴提出YOLOX-PAI，1ms内精度无敌，超越YOLOv6、PP-YOLOE](https://mp.weixin.qq.com/s/bIu3cYyZ-fVb5iB0bTfyug)》"
- YOLACT & YOLACT++ - Time_Instance_Segmentation_ICCV_2019_paper.html), [IEEE TPAMI 2020](https://ieeexplore.ieee.org/abstract/document/9159935)**)
- EasyCV - in-one toolkit for computer vision. "YOLOX-PAI: An Improved YOLOX, Stronger and Faster than YOLOv6". (**[arXiv 2022](https://arxiv.org/abs/2208.13040)**). "微信公众号「集智书童」《[YOLOX升级 | 阿里巴巴提出YOLOX-PAI，1ms内精度无敌，超越YOLOv6、PP-YOLOE](https://mp.weixin.qq.com/s/bIu3cYyZ-fVb5iB0bTfyug)》"
- YOLACT & YOLACT++ - Time_Instance_Segmentation_ICCV_2019_paper.html), [IEEE TPAMI 2020](https://ieeexplore.ieee.org/abstract/document/9159935)**)
- Alpha-IoU - IoU?style=social"/> : "Alpha-IoU: A Family of Power Intersection over Union Losses for Bounding Box Regression". (**[NeurIPS 2021](https://proceedings.neurips.cc//paper/2021/hash/a8f15eda80c50adb0e71943adc8015cf-Abstract.html)**)
- CIoU - tju/CIoU?style=social"/> : Complete-IoU (CIoU) Loss and Cluster-NMS for Object Detection and Instance Segmentation (YOLACT). (**[AAAI 2020](https://ojs.aaai.org/index.php/AAAI/article/view/6999), [IEEE TCYB 2021](https://ieeexplore.ieee.org/abstract/document/9523600)**)
- Albumentations - team/albumentations?style=social"/> : Albumentations is a Python library for image augmentation. Image augmentation is used in deep learning and computer vision tasks to increase the quality of trained models. The purpose of image augmentation is to create new training samples from the existing data. "Albumentations: Fast and Flexible Image Augmentations". (**[Information 2020](https://www.mdpi.com/2078-2489/11/2/125)**)
- doubleZ0108/Data-Augmentation - Augmentation?style=social"/> : General Data Augmentation Algorithms for Object Detection(esp. Yolo).
- Alpha-IoU - IoU?style=social"/> : "Alpha-IoU: A Family of Power Intersection over Union Losses for Bounding Box Regression". (**[NeurIPS 2021](https://proceedings.neurips.cc//paper/2021/hash/a8f15eda80c50adb0e71943adc8015cf-Abstract.html)**)
- CIoU - tju/CIoU?style=social"/> : Complete-IoU (CIoU) Loss and Cluster-NMS for Object Detection and Instance Segmentation (YOLACT). (**[AAAI 2020](https://ojs.aaai.org/index.php/AAAI/article/view/6999), [IEEE TCYB 2021](https://ieeexplore.ieee.org/abstract/document/9523600)**)
- Albumentations - team/albumentations?style=social"/> : Albumentations is a Python library for image augmentation. Image augmentation is used in deep learning and computer vision tasks to increase the quality of trained models. The purpose of image augmentation is to create new training samples from the existing data. "Albumentations: Fast and Flexible Image Augmentations". (**[Information 2020](https://www.mdpi.com/2078-2489/11/2/125)**)
- doubleZ0108/Data-Augmentation - Augmentation?style=social"/> : General Data Augmentation Algorithms for Object Detection(esp. Yolo).
Videos
- 2023-06-02，从零自制深度学习推理框架
- 2023-06-02，从零自制深度学习推理框架
Datasets
- OpenDataLab
- Science Data Bank(ScienceDB) - purpose data repository aiming to provide data services (e.g. data acquisition, long-term preservation, publishing, sharing and access) for researchers, research projects/teams, journals, institutions, universities, etc. It supports a variety of data acquisition and data licenses. ScienceDB is dedicated to promoting data findable, citable and reusable on the prerequisite of protecting the rights and interests of data owners and it is built and operated by Computer Network Information Center, Chinese Academy of Sciences.

Programming Languages

Python 1,056 C++ 267 Jupyter Notebook 154 C# 83 C 67 Rust 46 JavaScript 14 Go 9 Dart 5 TypeScript 5

Ecosyste.ms: Awesome

awesome-yolo-object-detection

Blogs

Lighter and Deployment Frameworks

Other Versions of YOLO

Star History

Summary

Applications

Extensional Frameworks

Videos

Datasets