Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

awesome-object-detection-datasets

A collection of some awesome public object detection and recognition datasets.
https://github.com/codingonion/awesome-object-detection-datasets

  • 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.
  • ZhangXiwuu/Awesome_visual_place_recognition_datasets
  • ari-dasci/OD-WeaponDetection - dasci/OD-WeaponDetection?style=social"/> : Datasets for weapon detection based on image classification and object detection tasks.
  • DLLXW/objectDetectionDatasets
  • codingonion/awesome-object-detection-and-recognition-datasets - object-detection-and-recognition-datasets?style=social"/> : A collection of some awesome public object detection and recognition 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.
  • 中国科学数据 - 6035/N，ISSN 2096-2223）是目前中国唯一的专门面向多学科领域科学数据出版的学术期刊，作为国家网络连续型出版物的首批试点之一，由中国科学院主管，中国科学院计算机网络信息中心和ISC CODATA中国全国委员会合办，国家科技基础条件平台中心、中国科学院网络安全和信息化领导小组办公室指导，国内外公开发行，中英文，季刊。 中国科学引文数据库（CSCD）来源期刊，中国科技核心期刊 ，收录于中国科协高质量科技期刊分级目录。
  • 飞桨AI Studio
  • 极市开发者平台
  • openvinotoolkit/datumaro
  • 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 - labeling.
  • LabelImg
  • 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
  • Rectlabel-support - support?style=social"/> : RectLabel - An image annotation tool to label images for bounding box object detection and segmentation.
  • 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。
  • 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.
  • whs0523003/YOLOv5_6.1_autolabel
  • 2vin/PyYAT - Automatic Yolo Annotation Tool In Python.
  • AlturosDestinations/Alturos.ImageAnnotation
  • stephanecharette/DarkMark
  • 2vin/yolo_annotation_tool
  • sanfooh/quick_yolo2_label_tool
  • folkien/yaya - Yet annother YOLO annoter for images (in QT5). Support yolo format, image modifications, labeling and detecting with previously trained detector.
  • 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
  • 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).
  • YOLOExplorer
  • COCO - 3-319-10602-1_48)**)
  • PASCAL VOC - 014-0733-5)**)
  • Objects365 - scale, High-quality Dataset for Object Detection". (**[ICCV 2019](https://openaccess.thecvf.com/content_ICCV_2019/html/Shao_Objects365_A_Large-Scale_High-Quality_Dataset_for_Object_Detection_ICCV_2019_paper.html)**)
  • ImageNet - 015-0816-y)**)
  • BDD100K
  • CODA - World Road Corner Case Dataset for Object Detection in Autonomous Driving". (**[ECCV 2022](https://link.springer.com/chapter/10.1007/978-3-031-19839-7_24)**)
  • TT100K - Sign Detection and Classification in the Wild". (**[CVPR 2016](https://openaccess.thecvf.com/content_cvpr_2016/html/Zhu_Traffic-Sign_Detection_and_CVPR_2016_paper.html)**)
  • CCTSDB - Time Chinese Traffic Sign Detection Algorithm Based on Modified YOLOv2". (**[Algorithms, 2017](https://www.mdpi.com/1999-4893/10/4/127)**)
  • CCTSDB2021 - centric Computing and Information Sciences, 2022](https://centaur.reading.ac.uk/106129/)**)
  • CCPD - to-End License Plate Detection and Recognition: A Large Dataset and Baseline". (**[ECCV 2018](https://openaccess.thecvf.com/content_ECCV_2018/html/Zhenbo_Xu_Towards_End-to-End_License_ECCV_2018_paper.html)**)
  • RESID - Image Dehazing and Beyond". (**[IEEE Transactions on Image Processing 2018](https://ieeexplore.ieee.org/abstract/document/8451944)**)
  • INRIA Person
  • CrowdHuman
  • PANDA - Level Human-Centric Video Dataset". (**[CVPR 2020](https://openaccess.thecvf.com/content_CVPR_2020/html/Wang_PANDA_A_Gigapixel-Level_Human-Centric_Video_Dataset_CVPR_2020_paper.html)**)
  • TinyPerson - vg/PointTinyBenchmark?style=social"/> : "Scale Match for Tiny Person Detection". (**[WACV 2020](https://openaccess.thecvf.com/content_WACV_2020/html/Yu_Scale_Match_for_Tiny_Person_Detection_WACV_2020_paper.html)**)
  • TinyPerson v2 | SeaPerson - vg/PointTinyBenchmark?style=social"/> : "Object Localization Under Single Coarse Point Supervision". (**[CVPR 2022](https://openaccess.thecvf.com/content/CVPR2022/html/Yu_Object_Localization_Under_Single_Coarse_Point_Supervision_CVPR_2022_paper.html)**)
  • 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
  • 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)**)
  • xView
  • 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)**)
  • OpenSARShip 2.0 - volume dataset for deeper interpretation of ship targets in Sentinel-1 imagery". (**[IEEE BIGSARDATA 2017](https://ieeexplore.ieee.org/abstract/document/8124929)**)
  • 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)**)
  • OpenSARUrban - 1 SAR Image Dataset for Urban Interpretation". (**[IEEE JSTAEORS 2020](https://ieeexplore.ieee.org/abstract/document/8952866/)**)
  • HRSID - Resolution SAR Images Dataset for Ship Detection and Instance Segmentation". (**[IEEE Access 2020](https://ieeexplore.ieee.org/abstract/document/9127939)**)
  • FUSAR-Ship - Ship1.0. (**[雷达学报](https://radars.ac.cn/web/data/getData?dataType=FUSAR)**). "FUSAR-Ship: building a high-resolution SAR-AIS matchup dataset of Gaofen-3 for ship detection and recognition". (**[Science China Information Sciences, 2020](https://link.springer.com/article/10.1007/s11432-019-2772-5)**)
  • 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)**)
  • 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)
  • 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)**)
  • 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)**).
  • PJLab-ADG/LiDARSimLib-and-Placement-Evaluation - ADG/LiDARSimLib-and-Placement-Evaluation?style=social"/> : "Analyzing Infrastructure LiDAR Placement with Realistic LiDAR Simulation Library". (**[ICRA, 2023](https://arxiv.org/abs/2211.15975)**).
  • 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
  • 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
  • IJB-B - B Face Dataset". (**[CVPR 2017](https://openaccess.thecvf.com/content_cvpr_2017_workshops/w6/html/Whitelam_IARPA_Janus_Benchmark-B_CVPR_2017_paper.html)**)
  • IJB-C - C: Face Dataset and Protocol". (**[ICB 2018](https://ieeexplore.ieee.org/abstract/document/8411217)**)
  • 2022-11-01, 目标检测算法——行人检测&人群计数数据集汇总(附下载链接)
  • 2022-11-21, 目标检测算法——工业缺陷数据集汇总1（附下载链接）
  • 2022-12-01, 目标检测算法——图像分类开源数据集汇总（附下载链接）
  • 2023-03-27, 目标跟踪方向开源数据集资源汇总
  • 2023-04-12, 包罗万象！V3Det：1.3W类全新目标检测数据集（港中文&上海AI Lab）
  • 2022-03-10, 最全自动驾驶数据集分享系列一｜目标检测数据集（1/3）
  • 2022-03-21, 最全自动驾驶数据集分享系列一｜目标检测数据集（2/3）
  • 2022-04-24, 最全自动驾驶数据集分享系列一｜目标检测数据集（3/3）
Programming Languages
Python 35 C++ 4 Jupyter Notebook 4 C# 3 MATLAB 2 JavaScript 2 HTML 1 C 1 TypeScript 1
Keywords
object-detection 19 dataset 18 computer-vision 18 deep-learning 17 yolo 15 detection 9 annotation-tool 9 yolov5 8 machine-learning 7 labeling-tool 7 pytorch 6 image-annotation 6 image-classification 6 autonomous-driving 6 labeling 6 yolov3 5 coco 4 darknet 4 collaborative-perception 4 tensorflow 4 semantic-segmentation 4 datasets 4 annotations 4 imagenet 3 boundingbox 3 yolov8 3 python 3 yolov2 3 remote-sensing 3 bounding-boxes 3 labelimg 3 segmentation 3 opencv 3 annotation 3 labelling 3 image-labeling 2 image-labelling-tool 2 neural-network 2 benchmark 2 autonomous-vehicles 2 slam 2 deeplearning 2 video-annotation 2 low-light-image 2 tagging 2 image-fusion 2 cvpr2022 2 ai 2 v2x 2 image-processing 2