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: 15 days ago
JSON representation

Anti-UAV Datasets
- COWC - 3-319-46487-9_48)**)
- RSOD - LIESMARS-WHU/RSOD-Dataset-?style=social"/> : "Accurate object localization in remote sensing images based on convolutional neural networks". (**[IEEE TGRS 2017](https://ieeexplore.ieee.org/abstract/document/7827088/)**)
- LEVIR-Ship - Ship?style=social"/> : "A Degraded Reconstruction Enhancement-based Method for Tiny Ship Detection in Remote Sensing Images with A New Large-scale Dataset". (**[IEEE TGRS 2022](https://ieeexplore.ieee.org/abstract/document/9791363)**)
- MASATI - 4292/10/4/511)**)
- DOTA - Scale Dataset for Object Detection in Aerial Images". (**[CVPR 2018](https://openaccess.thecvf.com/content_cvpr_2018/html/Xia_DOTA_A_Large-Scale_CVPR_2018_paper.html)**). "Object Detection in Aerial Images: A Large-Scale Benchmark and Challenges". (**[IEEE TPAMI 2021](https://ieeexplore.ieee.org/abstract/document/9560031)**).
- ITCVD
- Bridge Dataset
- DIOR
- PESMOD
- AI-TOD - TOD?style=social"/> : "Tiny Object Detection in Aerial Images". (**[IEEE ICPR 2021](https://ieeexplore.ieee.org/abstract/document/9413340)**)
- RsCarData - object-detection-DSFNet?style=social"/> : "DSFNet: Dynamic and Static Fusion Network for Moving Object Detection in Satellite Videos". (**[IEEE GRSL 2021](https://ieeexplore.ieee.org/abstract/document/9594855)**)
- VISO - Learning-And-Vision-Atelier-LAVA/VISO?style=social"/> : "Detecting and Tracking Small and Dense Moving Objects in Satellite Videos: A Benchmark". (**[IEEE TGRS 2021](https://ieeexplore.ieee.org/abstract/document/9625976)**)
- VisDrone - Dataset?style=social"/> : "Detection and Tracking Meet Drones Challenge". (**[IEEE TPAMI 2021](https://ieeexplore.ieee.org/abstract/document/9573394)**)
- FAIR1M - grained object recognition in high-resolution remote sensing imagery". (**[ISPRS 2021](https://www.sciencedirect.com/science/article/abs/pii/S0924271621003269)**)
- SeaDronesSee
- NightOwls - 3-030-20887-5_43)**).
- ExDark - chan/Exclusively-Dark-Image-Dataset?style=social"/> : "Getting to know low-light images with the exclusively dark dataset". (**[CVIU 2019](https://www.sciencedirect.com/science/article/abs/pii/S1077314218304296)**). "Low-light image enhancement using Gaussian Process for features retrieval". (**[Signal Processing: Image Communication, 2019](https://www.sciencedirect.com/science/article/abs/pii/S0923596518310452)**).
- DARK FACE
- 地/空背景下红外图像弱小飞机目标检测跟踪数据集
- 复杂背景下红外弱小运动目标检测数据集
- 面向空地应用的红外时敏目标检测跟踪数据集
- SCUT_FIR_Pedestrian_Dataset - CV/SCUT_FIR_Pedestrian_Dataset?style=social"/> : "Benchmarking a large-scale FIR dataset for on-road pedestrian detection". (**[Infrared Physics & Technology, 2019](https://www.sciencedirect.com/science/article/abs/pii/S1350449518305589)**)
- NUDT-SIRST - Small-Target-Detection?style=social"/> : "Dense Nested Attention Network for Infrared Small Target Detection". (**[arXiv 2021](https://arxiv.org/abs/2106.00487)**)
- SIRST
- SNL VideoSAR
- MSTAR
- OpenSARShip - 1 Ship Interpretation". (**[IEEE JSTAEORS 2017](https://ieeexplore.ieee.org/abstract/document/8067489)**)
- SSDD - CNN". (**[IEEE BIGSARDATA 2017](https://ieeexplore.ieee.org/abstract/document/8124934/)**). "基于深度学习的SAR图像舰船检测数据集及性能分析". (**[第五届高分辨率对地观测学术年会, 2018](https://kns.cnki.net/kcms/detail/detail.aspx?dbcode=CPFD&dbname=CPFDLAST2019&filename=ZKZD201810001014&uniplatform=NZKPT&v=yO0QaBvz14EhL7pk2vCZgRGQl9EUK4g_ZLMv--RusqdnPK4jBUFATMtsDuwGc8fzPb9iLY3lVOI%3d)**)
- AIR-SARShip - 2.0". "AIR-SARShip-1.0: 高分辨率 SAR 舰船检测数据集". (**[雷达学报 2019](https://kns.cnki.net/kcms/detail/detail.aspx?dbcode=CJFD&dbname=CJFDLAST2020&filename=LDAX201906014&uniplatform=NZKPT&v=pL57X-1uWs_T7QAY3gMTKZ1ZrPt1hdyAPDo3jpXRqPLbyAYbrH6-IAZMrqpRwS3J)**)
- SAR-Ship-Dataset - Radi/SAR-Ship-Dataset?style=social"/> : "A SAR Dataset of Ship Detection for Deep Learning under Complex Backgrounds". (**[Remote Sensing, 2019](https://www.mdpi.com/2072-4292/11/7/765)**)
- HRSID - Resolution SAR Images Dataset for Ship Detection and Instance Segmentation". (**[IEEE Access 2020](https://ieeexplore.ieee.org/abstract/document/9127939)**)
- Official-SSDD - SSDD?style=social"/> : "SAR Ship Detection Dataset (SSDD): Official Release and Comprehensive Data Analysis ". (**[Remote Sensing, 2021](https://www.mdpi.com/2072-4292/13/18/3690)**)
- MSAR - 1.0"。(**[雷达学报 2022](https://radars.ac.cn/web/data/getData?dataType=MSAR)**)
- RSDD-SAR - SAR:SAR舰船斜框检测数据集"。(**[雷达学报 2022](https://kns.cnki.net/kcms/detail/detail.aspx?dbcode=CJFD&dbname=CJFDLAST2022&filename=LDAX202204006&uniplatform=NZKPT&v=J3WR8KUVzuYM6uPXqbI64hl8oRAk3mvWRv3hrBCH9ZBek54uYq_UkJGY0PGaaxDg)**)
- SWDD - ViT for Side-Scan Sonar Object Detection". (**[arXiv 2024](https://arxiv.org/abs/2403.09313)**). The Sonar Wall Detection Dataset (SWDD) is publicly accessible at [https://zenodo.org/records/10528135](https://zenodo.org/records/10528135).
- FLIR_ADAS
- VEDAI - ouvertes.fr/hal-01122605v2/document)**)
- KAIST_rgbt - ped-detection?style=social"/> : "Multispectral Pedestrian Detection: Benchmark Dataset and Baseline". (**[CVPR 2015](https://openaccess.thecvf.com/content_cvpr_2015/html/Hwang_Multispectral_Pedestrian_Detection_2015_CVPR_paper.html)**)
- TNO - in-brief.com/article/S2352-3409(17)30469-9/abstract)**)
- MFNet - pytorch?style=social"/> : MFNet-pytorch, image semantic segmentation using RGB-Thermal images. "MFNet: Towards real-time semantic segmentation for autonomous vehicles with multi-spectral scenes". (**[IROS 2017](https://ieeexplore.ieee.org/abstract/document/8206396/)**). ([MFNet Dataset](https://www.mi.t.u-tokyo.ac.jp/static/projects/mil_multispectral/) : Multi-spectral Object Detection and Semantic Segmentation Datasets)
- MSRS - Tang/MSRS?style=social"/> : MSRS: Multi-Spectral Road Scenarios for Practical Infrared and Visible Image Fusion. "[PIAFusion](https://github.com/Linfeng-Tang/PIAFusion) <img src="https://img.shields.io/github/stars/Linfeng-Tang/PIAFusion?style=social"/>: A progressive infrared and visible image fusion network based on illumination aware". (**[Information Fusion, 2022](https://www.sciencedirect.com/science/article/abs/pii/S156625352200032X)**)
- TarDAL - CV/TarDAL?style=social"/> : "Target-Aware Dual Adversarial Learning and a Multi-Scenario Multi-Modality Benchmark To Fuse Infrared and Visible for Object Detection". (**[CVPR 2022](https://openaccess.thecvf.com/content/CVPR2022/html/Liu_Target-Aware_Dual_Adversarial_Learning_and_a_Multi-Scenario_Multi-Modality_Benchmark_To_CVPR_2022_paper.html)**). ([M3FD Dataset](https://drive.google.com/drive/folders/1H-oO7bgRuVFYDcMGvxstT1nmy0WF_Y_6?usp=sharing))
- DroneVehicle - based RGB-Infrared Cross-Modality Vehicle Detection via Uncertainty-Aware Learning". (**[IEEE TCSVT 2022](https://ieeexplore.ieee.org/abstract/document/9759286/)**)
- Objectron - research-datasets/Objectron?style=social"/> : "Objectron: A Large Scale Dataset of Object-Centric Videos in the Wild with Pose Annotations". (**[CVPR, 2021](https://openaccess.thecvf.com/content/CVPR2021/html/Ahmadyan_Objectron_A_Large_Scale_Dataset_of_Object-Centric_Videos_in_the_CVPR_2021_paper.html?ref=https://githubhelp.com)**)
- OpenCOOD|OPV2V - lab.seas.ucla.edu/opv2v/). "OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle Communication". (**[ICRA, 2022](https://ieeexplore.ieee.org/abstract/document/9812038/)**). [mobility-lab.seas.ucla.edu/opv2v/](https://mobility-lab.seas.ucla.edu/opv2v/)
- CoBEVT
- Where2comm - SJTU/where2comm?style=social"/> : "Where2comm: Communication-Efficient Collaborative Perception via Spatial Confidence Maps". (**[Neurips, 2022](https://arxiv.org/abs/2209.12836)**).
- CoAlign
- V2V4Real - mobility/V2V4Real?style=social"/> : "V2V4Real: A Real-World Large-Scale Dataset for Vehicle-to-Vehicle Cooperative Perception". (**[CVPR, 2023](https://openaccess.thecvf.com/content/CVPR2023/html/Xu_V2V4Real_A_Real-World_Large-Scale_Dataset_for_Vehicle-to-Vehicle_Cooperative_Perception_CVPR_2023_paper.html)**).
- V2X-ViT|V2XSet - vit?style=social"/> : "V2X-ViT: Vehicle-to-Everything Cooperative Perception with Vision Transformer". (**[ECCV, 2022](https://link.springer.com/chapter/10.1007/978-3-031-19842-7_7)**).
- DAIR-V2X - THU/DAIR-V2X?style=social"/> : "DAIR-V2X: A Large-Scale Dataset for Vehicle-Infrastructure Cooperative 3D Object Detection". (**[CVPR, 2022](https://openaccess.thecvf.com/content/CVPR2022/html/Yu_DAIR-V2X_A_Large-Scale_Dataset_for_Vehicle-Infrastructure_Cooperative_3D_Object_Detection_CVPR_2022_paper.html)**). [全球首个车路协同自动驾驶数据集发布](https://thudair.baai.ac.cn)
- V2X-Seq - THU/DAIR-V2X-Seq?style=social"/> : "V2X-Seq: A Large-Scale Sequential Dataset for Vehicle-Infrastructure Cooperative Perception and Forecasting". (**[CVPR, 2023](https://openaccess.thecvf.com/content/CVPR2023/html/Yu_V2X-Seq_A_Large-Scale_Sequential_Dataset_for_Vehicle-Infrastructure_Cooperative_Perception_and_CVPR_2023_paper.html)**). [全球首个大规模时序车路协同自动驾驶数据集发布](https://thudair.baai.ac.cn)
- VideoLQ - World Video Super-Resolution". (**[CVPR, 2022](https://openaccess.thecvf.com/content/CVPR2022/html/Chan_Investigating_Tradeoffs_in_Real-World_Video_Super-Resolution_CVPR_2022_paper.html)**)
- WIDER FACE
- UFDD
- HCIILAB/SCUT-HEAD-Dataset-Release - HEAD-Dataset-Release?style=social"/> : SCUT HEAD is a large-scale head detection dataset, including 4405 images labeld with 111251 heads. "Detecting Heads using Feature Refine Net and Cascaded Multi-scale Architecture". (**[arXiv, 2018](https://arxiv.org/abs/1803.09256)**)
- LFW - Life'Images: detection, alignment, and recognition. 2008](https://hal.inria.fr/inria-00321923/)**)
- YouTube Faces (YTF)
- CASIA-WebFace
- IJB-A - foundation.org/openaccess/content_cvpr_2015/html/Klare_Pushing_the_Frontiers_2015_CVPR_paper.html)**)
- MS-Celeb-1M - Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition". (**[ECCV 2016](https://link.springer.com/chapter/10.1007/978-3-319-46487-9_6)**)
- MegaFace - Shlizerman_The_MegaFace_Benchmark_CVPR_2016_paper.html)**)
- UMDFaces
Applications
- 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)**)
- JSwimmingLiu/YOLOSHOW - YOLOv10 / YOLOv9 / YOLOv8 / YOLOv7 / YOLOv5 / RTDETR GUI based on Pyside6.[swimmingliu.cn/posts/diary/yoloshow](https://swimmingliu.cn/posts/diary/yoloshow)
- HRan2004/Yolo-ArbV2 - ArbV2?style=social"/> : Yolo-ArbV2 在完全保持YOLOv5功能情况下，实现可选多边形信息输出。
Blogs

Programming Languages

Python 597 C++ 140 Jupyter Notebook 84 C# 46 C 36 Rust 24 JavaScript 7 Go 5 TypeScript 3 HTML 3

Categories

Blogs 2,567 Object Detection Applications 523 Other Versions of YOLO 250 Lighter and Deployment Frameworks 235 Summary 73 Anti-UAV Datasets 63 Object Detection Datasets 25 Applications 3 Videos 2 Star History 2

Sub Categories

Keywords

object-detection 239 yolo 222 deep-learning 158 yolov5 154 pytorch 126 yolov3 102 computer-vision 96 machine-learning 72 python 65 tensorrt 61 yolov8 58 tensorflow 57 yolov4 55 yolov7 51 onnx 48 detection 47 darknet 40 opencv 39 neural-network 30 yolox 29 ncnn 28 onnxruntime 22 yolov6 22 dataset 21 keras 19 cpp 19 deep-neural-networks 18 image-classification 17 deeplearning 16 cuda 16 ai 16 ultralytics 15 yolov10 15 instance-segmentation 15 deepsort 15 object-tracking 15 yolov2 15 yolov9 14 tracking 14 artificial-intelligence 13 ml 13 face-detection 13 openvino 13 real-time 12 coco 12 annotation-tool 12 rust 11 bounding-boxes 11 cnn 11 dotnet 11