{"id":4242,"url":"https://github.com/mint-lab/awesome-robotics-datasets","name":"awesome-robotics-datasets","description":"A collection of useful datasets for robotics and computer vision","projects_count":79,"last_synced_at":"2026-08-28T20:00:31.528Z","repository":{"id":53872368,"uuid":"130785763","full_name":"mint-lab/awesome-robotics-datasets","owner":"mint-lab","description":"A collection of useful datasets for robotics and computer 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Datasets","Topic-specific Datasets for Computer Vision","Dataset Collections","Topic-specific Datasets for Robotics","Research Groups"],"sub_categories":["Driving Datasets","Structure-from-Motion and 3D Reconstruction","Indoor Datasets","Flying Datasets","Underwater Datasets","Outdoor Datasets","Localization, Mapping, and SLAM","Path Planning and Navigation","Features","Saliency and Foreground","Motion and Pose Estimation","Object Tracking","Object, Place, and Event Recognition"],"readme":"* TOC\n{:toc}\n\n\n## Dataset Collections\n* **Robotics**\n  * ~~[Radish: The Robotics Data Set Repository](http://radish.sourceforge.net/), Andrew Howard and Nicholas Roy~~ (Not working)\n  * [Repository of Robotics and Computer Vision Datasets](https://www.mrpt.org/robotics_datasets), MRPT\n    * :memo: It includes _Malaga datasets_ and some of classic datasets published in [Radish](http://radish.sourceforge.net/).\n  * [IJRR Data Papers](http://journals.sagepub.com/topic/collections/ijr-3-datapapers/ijr), IJRR\n  * [Awesome SLAM Datasets](https://github.com/youngguncho/awesome-slam-datasets), Younggun Cho :+1:\n* **Computer Vision**\n  * [CVonline Image Databases](http://homepages.inf.ed.ac.uk/rbf/CVonline/Imagedbase.htm), CVonline\n  * [Computer Vision Datasets on the Web](http://www.cvpapers.com/datasets.html), CVPapers :+1:\n  * [YACVID: Yet Another Computer Vision Index To Datasets](http://riemenschneider.hayko.at/vision/dataset/), Hayko Riemenschneider :+1:\n  * [Computer Vision Online Datasets](https://computervisiononline.com/datasets), Computer Vision Online\n* **Others**\n  * [Machine Learning Repository](http://archive.ics.uci.edu/ml), UCI\n  * [Kaggle Datasets](https://www.kaggle.com/datasets), Kaggle\n  * [IEEE DataPort](https://ieee-dataport.org/), IEEE\n\n\n## Place-specific Datasets\n### Driving Datasets\n* [KITTI Vision Benchmark Suite](http://www.cvlibs.net/datasets/kitti/) and [KITTI-360](http://www.cvlibs.net/datasets/kitti-360/), Andreas Geiger et al. :+1:\n  * [SemanticKITTI](http://semantic-kitti.org/), Jens Behley et al.\n* [Waymo Open Dataset](https://waymo.com/open), Waymo\n* [Cityscapes Dataset](https://www.cityscapes-dataset.com/)\n* [AppoloScape Dataset](http://apolloscape.auto/)\n* [Berkely DeepDrive Dataset](https://bdd-data.berkeley.edu/) (BDD100K), BAIR at UC Berkely\n* [nuScenes Dataset](https://www.nuscenes.org/), APTIV\n* [$D^2$-City Dataset](https://outreach.didichuxing.com/d2city/d2city), DiDi\n* [Ford Campus Vision and Lidar Data Set](http://robots.engin.umich.edu/SoftwareData/Ford), PeRL at Univ. of Michigan\n* [MIT DARPA Urban Challenge Dataset](http://grandchallenge.mit.edu/wiki/index.php?title=PublicData), MIT\n* [KAIST Multi-spectral Recognition Dataset in Day and Night](https://sites.google.com/view/multispectral/), RCV Lab at KAIST\n* [KAIST Complex Urban Dataset](http://irap.kaist.ac.kr/dataset/), IRAP Lab at KAIST\n* [New College Dataset](http://www.robots.ox.ac.uk/NewCollegeData/index.php), MRG at Oxford Univ.\n* [Chinese Driving from a Bike View](http://www.sujingwang.name/CDBV.html) (CDBV), CAS\n* [CULane Dataset](https://xingangpan.github.io/projects/CULane.html), CUHK\n* [ROMA (ROad MArkings) Image Database](http://perso.lcpc.fr/tarel.jean-philippe/bdd/), Jean-Philippe Tarel et al.\n\n### Flying Datasets\n* [The Zurich Urban Micro Aerial Vehicle Dataset](http://rpg.ifi.uzh.ch/zurichmavdataset.html), RPG at ETHZ\n* [The UZH-FPV Drone Racing Dataset](http://rpg.ifi.uzh.ch/uzh-fpv.html), RPG at ETHZ\n* [MultiDrone Public Dataset](https://multidrone.eu/multidrone-public-dataset/), MultiDrone Project\n* [The Blackbird Dataset](https://github.com/mit-fast/Blackbird-Dataset), AgileDrones Group at MIT\n\n### Underwater Datasets\n* [Marine Robotics Datasets](http://marine.acfr.usyd.edu.au/datasets/), ACFR\n\n### Outdoor Datasets\n* [The Rawseeds Project](http://www.rawseeds.org/)\n  * :memo: It includes _Bovisa_ dataset is for outdoor and _Bicocca_ dataset is for indoor.\n* [Planetary Mapping and Navigation Datasets](http://asrl.utias.utoronto.ca/datasets/), ASRL at Univ. of Toronto\n\n### Indoor Datasets\n* [Robotics 2D-Laser Datasets](http://www.ipb.uni-bonn.de/datasets/), Cyrill Stachniss\n  * :memo: It includes some of classic datasets published in [Radish](http://radish.sourceforge.net/).\n* [Long-Term Mobile Robot Operations](http://robotics.researchdata.lncn.eu/), Lincoln Univ.\n* [MIT Stata Center Data Set](http://projects.csail.mit.edu/stata/), Marine Robotics Group at MIT\n* [KTH and COLD Database](https://www.pronobis.pro/#data), Andrzej Pronobis\n* [Shopping Mall Datasets](http://www.irc.atr.jp/sets/TEMPOSAN_dataset/), IRC at ATR\n* [RGB-D Dataset 7-Scenes](https://www.microsoft.com/en-us/research/project/rgb-d-dataset-7-scenes/), Microsoft\n\n\n## Topic-specific Datasets for Robotics\n### Localization, Mapping, and SLAM\n* [SLAM Benchmarking](http://ais.informatik.uni-freiburg.de/slamevaluation/), AIS at Univ. of Freiburg\n* [Robotic 3D Scan Repository](http://kos.informatik.uni-osnabrueck.de/3Dscans/), Univ. of Wurzburg and Univ. of Osnabruck\n* [3D Pose Graph Optimization](https://lucacarlone.mit.edu/datasets/), Luca Carlone\n* **Landmark-based Localization**\n  * [Range-only Data for Localization](http://www.frc.ri.cmu.edu/projects/emergencyresponse/RangeData/), CMU RI\n  * [Roh's Angulation Dataset](https://github.com/sunglok/TriangulationToolbox/tree/master/dataset_roh), HyunChul Roh\n  * [Wireless Sensor Network Dataset](http://www.cs.virginia.edu/~whitehouse/research/localization/), Kamin Whitehouse\n\n### Path Planning and Navigation\n* [Pathfinding Benchmarks](http://www.movingai.com/benchmarks/), Moving AI Lab at Univ. of Denver\n* [Task and Motion Planner Benchmarking](http://www.neil.dantam.name/2018/rss-tmp-workshop/#benchmarks), RSS 2018 Workshop\n\n\n## Topic-specific Datasets for Computer Vision\n### Features\n* [Affine Covariant Features Datasets](https://www.robots.ox.ac.uk/~vgg/data/affine/), VGG at Oxford\n  * [Repeatability Benchmark Tutorial](https://www.vlfeat.org/benchmarks/overview/repeatability.html), VLFeat\n* [A list of feature performance evaluation datasets](https://github.com/openMVG/Features_Repeatability), maintained by openMVG\n\n### Saliency and Foreground\n* **Saliency**\n  * [MIT Saliency Benchmark](http://saliency.mit.edu/), MIT\n  * [Salient Object Detection: A Benchmark](http://mmcheng.net/salobjbenchmark/), Ming-Ming Cheng\n* **Foreground/Change Detection (Background Subtraction)**\n  * [ChangeDetection.NET](http://www.changedetection.net/) (a.k.a. CDNET)\n\n### Motion and Pose Estimation\n* [AdelaideRMF: Robust Model Fitting Data Set](https://cs.adelaide.edu.au/~hwong/doku.php?id=data), Hoi Sim Wong\n\n### Structure-from-Motion and 3D Reconstruction\n* **Objects**\n  * [IVL-SYNTHESFM v2](https://board.unimib.it/datasets/fnxy8z8894/1), Davide Marelli et al.\n  * [Fuji-SfM Dataset](https://zenodo.org/record/3712808#.YSfTs44zaUl), Jordi Gene-Mola et al.\n  * [Large Geometric Models Archive](https://www.cc.gatech.edu/projects/large_models/), Georgia Tech\n  * [The Stanford 3D Scanning Repository](http://graphics.stanford.edu/data/3Dscanrep/), Stanford Univ.\n* **Places**\n  * [Photo Tourism Data](http://phototour.cs.washington.edu/), UW and Microsoft\n\n### Object Tracking\n* [Visual Object Tracking Challenge](http://www.votchallenge.net/) (a.k.a. VOT) :+1:\n* [Visual Tracker Benchmark](http://cvlab.hanyang.ac.kr/tracker_benchmark/) (a.k.a. OTB)\n\n### Object, Place, and Event Recognition\n* **Pedestrians**\n  * [EuroCity Persons Dataset](https://eurocity-dataset.tudelft.nl/) (a.k.a. ECP)\n  * [Daimler Pedestrian Benchmark Data Sets](http://www.gavrila.net/Datasets/Daimler_Pedestrian_Benchmark_D/daimler_pedestrian_benchmark_d.html)\n  * [CrowdHuman](http://www.crowdhuman.org/)\n* **Objects**\n  * [RGB-D Object Dataset](http://rgbd-dataset.cs.washington.edu/), UW\n  * [Sweet Pepper and Peduncle 3D Datasets](http://enddl22.net/wordpress/datasets/sweet-pepper-and-peduncle-3d-datasets), InKyu Sa\n* **Places**\n  * [Loop Closure Detection](http://cogrob.ensta-paristech.fr/loopclosure.html), David Filliat et. al.\n* **Traffic and Surveillance**\n  * [BEST: Benchmark and Evaluation of Surveillance Task](http://best.sjtu.edu.cn/Data/List/Datasets), SJTU\n  * [VIRAT Video Dataset](http://www.viratdata.org/)\n\n\n## Research Groups\n* [TUM CVG Datasets](https://vision.in.tum.de/data/datasets)\n  * Tags: Visual(-inertia) odometry, visual SLAM, 3D reconstruction\n* [Oxford VGG Datasets](http://www.robots.ox.ac.uk/~vgg/data/)\n  * Tags: Visual features, visual recognition, 3D reconstruction\n* [QUT CyPhy Datasets](https://wiki.qut.edu.au/display/cyphy/Datasets)\n  * Tags: Visual SLAM, LiDAR SLAM\n* [Univ. of Bonn Univ. Stachniss Lab Datasets](https://www.ipb.uni-bonn.de/data/)\n  * Tags: SLAM\n* [EPFL CVLAB Datasets](https://cvlab.epfl.ch/data)\n  * Tags: 3D reconstruction, local keypoint, optical flow, RGB-D pedestrian\n* [The Middlebury Computer Vision Pages](http://vision.middlebury.edu/)\n  * Tags: Stereo matching, 3D reconstruction, MRF, optical flow, color\n* [Caltech CVG Datasets](http://www.vision.caltech.edu/archive.html)\n  * Tags: Objects (pedestrian, car, face), 3D reconstruction (on turntables)\n","projects_url":"https://awesome.ecosyste.ms/api/v1/lists/mint-lab%2Fawesome-robotics-datasets/projects"}