--- id: 901126 card_url: "https://mdrss.com/data-research/scientific-and-biomedical-data/901126" permalink_url: "https://mdrss.com/m/901126" thread_url: "https://mdrss.com/s/data-research" markdown_url: "https://mdrss.com/data-research/scientific-and-biomedical-data/901126/901126.md" title: "Awesome SLAM Datasets" annotation: "This repository is the collection of SLAM-related datasets. Among various SLAM datasets, we've selected the datasets provide pose and map information. This repository is linked to the google site. In this repository, the overall dataset chart is represented as simplified version. Use it to navigate the topic and choose relevant methods, papers or tools." state: published thread: data-research domain: data-research category: scientific-and-biomedical-data type: reference tags: ["data-research", "scientific-and-biomedical-data", "update", "datasets", "slam", "repository", "awesome", "scientific", "collider-club"] ontology_terms: ["concept:scientific-and-biomedical-data", "org:collider-club"] relation_terms: [] license: "MIT" version: 1 snapshot_at: "2026-08-04T16:17:00.000Z" source_url: "https://github.com/youngguncho/awesome-slam-datasets" source_kind: "collider-club-curated" platform_scam_risk: 5 platform_evidence_score: 100 evidence_urls: - "https://github.com/youngguncho/awesome-slam-datasets" - "https://raw.githubusercontent.com/youngguncho/awesome-slam-datasets/54def010428d7cd34cfdbaac96d0410b145bdfcb/README.md" - "https://collider.club" - "https://opensource.org/licenses/MIT" --- # Awesome SLAM Datasets > This repository is the collection of SLAM-related datasets. Among various SLAM datasets, we've selected the datasets provide pose and map information. This repository is linked to the google site. In this repository, the overall dataset chart is represented as simplified version. Use it to navigate the topic and choose relevant methods, papers or tools. > Editorial note: curated source snapshot published by [Collider.club](https://collider.club) under the MIT License. Source attribution is preserved in the front matter. ## Source snapshot # Awesome SLAM Datasets [![Awesome](https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg)](https://github.com/sindresorhus/awesome) ![image](figs/awesome_datasets_thumbnails.png) >Thumbnail Figures from Complex Urban, NCLT, Oxford robotcar, KiTTi, Cityscapes datasets. This repository is the collection of SLAM-related datasets. Among various SLAM datasets, we've selected the datasets provide pose and map information. This repository is linked to the [google site](https://sites.google.com/view/awesome-slam-datasets/). In this repository, the overall dataset chart is represented as simplified version. You can use full version of the chart (made by google spreadsheet) in the [project page](https://sites.google.com/view/awesome-slam-datasets/). We provide several category for each access of the data. ## News !! ## Update: 2024-07-31 - Add FusionPortable Series (V1: Campus-scene with diverse platforms, V2: From Campus to Highway, scalable environments.) ## Update: 2024-4-18 - Add VBR SLAM Dataset ## Update: 2023-06-20 - Add 4Seasons - Add M2DGR - Add Tartanair ## Update: 2022-8-15 - Add VECtor Dataset ## Update: 2022-04-07 - Add Hilti SLAM Dataset ## Update: 2021-03-24 - Add PennCosyVIO ### Update: 2021-02-26 - We add a new visual localization and mapping dataset named "ICL Dataset". - Added OpenVINS evaulation toolbox link. ### Update: 2020-02-29 - We updated SLAMBench from version 2.0 to 3.0. ### Update: 2019-09-24 - We add [FMDataset](https://github.com/zhuzunjie17/FastFusion) which consist on RGBD and IMU data for dense reconstruction of indoor environments - In ICRA 2019 (Montreal), workshop on ['Dataset Generation and Benchmarking of SLAM Algorithms for Robotics and VR/AR'](https://sites.google.com/view/icra-2019-workshop/home) will be held!. We are pretty sure that there will be many 'new' and 'hot' datasets intruduced at the workshop. - We add [evaluation section](#evaluation) (Tools for trajectory and SLAM methods evaluation) - We add a new UAV dataset, [UZH-FPV Drone Racing Dataset](http://rpg.ifi.uzh.ch/uzh-fpv.html), which aims high speed state estimation using RGB, Event, and IMU. - [Complex Urban Dataset (KAIST)](https://sites.google.com/view/complex-urban-dataset) now includes stereo camera images! (published in IJRR 2019) ## TODO - Add datasets introduced in CVPR 2019 - Waymo (https://waymo.com/open) - Nuscenes (https://www.nuscenes.org/) - ... - Add Simulation datast category - CARLA - Airsim - Syncity ## Category - [Awesome SLAM Datasets ](#awesome-slam-datasets-) - [News !!](#news-) - [Update: 2024-07-31](#update-2024-07-31) - [Update: 2023-06-20](#update-2023-06-20) - [Update: 2022-8-15](#update-2022-8-15) - [Update: 2022-04-07](#update-2022-04-07) - [Update: 2021-03-24](#update-2021-03-24) - [Update: 2021-02-26](#update-2021-02-26) - [Update: 2020-02-29](#update-2020-02-29) - [Update: 2019-09-24](#update-2019-09-24) - [TODO](#todo) - [Category](#category) - [Overall datasets chart (Simplified Version)](#overall-datasets-chart-simplified-version) - [Evaluation](#evaluation) - [Categorized By Topic](#categorized-by-topic) - [Odometry](#odometry) - [Mapping](#mapping) - [Place Recognition](#place-recognition) - [Localization](#localization) - [Perception](#perception) - [Categorized By Characteristics](#categorized-by-characteristics) - [Large-scale](#large-scale) - [Long-term](#long-term) - [Map Complexity](#map-complexity) - [Extreme Condition](#extreme-condition) - [Categorized by Platform](#categorized-by-platform) - [Vehicle](#vehicle) - [Mobile Robot](#mobile-robot) - [Unmanned Aerial Vehicle](#unmanned-aerial-vehicle) - [Autonomous Underwater Vehicle](#autonomous-underwater-vehicle) - [Unmanned Surface Vehicle](#unmanned-surface-vehicle) - [Hand-held Device](#hand-held-device) - [Categorized by Environment](#categorized-by-environment) - [Urban](#urban) - [Indoor](#indoor) - [Terrain](#terrain) - [Underwater](#underwater) - [Simulation](#simulation) - [Contributing](#contributing) - [License](#license) ## Overall datasets chart (Simplified Version) [Link to Full version](https://sites.google.com/view/awesome-slam-datasets/) | Shortname | Affiliation | Year | Platform | Publication | Environment | GT-Pose | GT-Map | IMU | GPS | Labels | Lidar | Cameras | RGBD | Event | Radar | Sonar | DVL | Other | |----------------------------------------------------------------------------------------------------------|--------------|------|------------|-------------|-----------------------|---------|--------|-----|-----|--------|------------|---------|------|-------|-------|-------|-----|-------------------------| | [VBR SLAM Dataset](https://www.rvp-group.net/slam-dataset.html) | Sapienza University of Rome| 2024 | Hand, Veh | ICRA | Indoor + Outdoor | O | |O | | |O |O | | | | | |Stereo Cams; Multiple configuration; SLAM Benchmark | | [4Seasons Dataset](https://www.4seasons-dataset.com/) | Technical University of Munich| 2020 | Veh | GCPR | Outdoor | O | O | O | O | | O | O | O | O | | | | | [M2DGR](https://github.com/SJTU-ViSYS/M2DGR/) | Shanghai Jiaotong University | 2021 | Mob | RA-L | Indoor + Outdoor | O | | O | O | | O | O | O | O | | | | | [TartanAir](https://theairlab.org/tartanair-dataset/) | CMU | 2020 | UAV | IROS | Simulation | O | O | O | | | | O | | O | | | | | | [VECtor Dataset](https://star-datasets.github.io/vector/) | ShanghaiTech University | 2022 | Hand | RA-L | Indoor + Outdoor | O | | O | | | O | O | O | O | | | | | | [Hilti SLAM Dataset](https://hilti-challenge.com/) | Hilti, Oxford, UZH | 2022 | Hand | | Indoor + Outdoor | O | O | O | | | O | O | | | | | | | | [MADMAX Mars Dataset](https://rmc.dlr.de/morocco2018/) | German Aerospace Center (DLR) | 2021 | Handheld Rover-Mockup | JFR | Rough Terrain, Planetary analog | O | | O | O | | | O | O | | | | | Stereo Cams + Stereo Omnidirectional Cameras; Navigation Benchmark | | [FinnForest Dataset](http://urn.fi/urn:nbn:fi:att:9b8157a7-1e0f-47c2-bd4e-a19a7e952c0d) | Tampere University | 2020 | Veh | RAS journal | Forest, Terrain | O | | | | | | O | | | | | | Multiple Stereo Pairs ; Sampling Rate(40, 13, and 8Hz) | | [PennCOSYVIO Dataset](https://daniilidis-group.github.io/penncosyvio/) | University of Pennsylvania | 2017 | Hand | ICRA | Indoor + Outdoor | O | | O | | | | O | | | | | | | | [ICL Dataset](https://peringlab.org/lmdata/) | Imperial College | 2019 | Hand, MAV | ICRA | Indoor | O | | | | | | O | O | | | | | | | [UZH-FPV Drone Racing](http://rpg.ifi.uzh.ch/uzh-fpv.html) | UZH, ETH | 2019 | UAV | ICRA | Indoor, Urban | O | | O | | | | O | | O | | | | | | [FMDataset](https://github.com/zhuzunjie17/FastFusion) | Hangzhou Dianzi / Tsinghua | 2019 | Hand | ICME | Indoor | | | O | | | | | O | | | | | | | [Rosario Dataset](http://www.cifasis-conicet.gov.ar/robot/doku.php) | CONICET-UNR | 2019 | Mob | IJRR | Terrain | O | | O | | | | O | | | | | | Encoder | | [Collaborative SLAM Dataset (CSD)](https://github.com/torrvision/CollaborativeSLAMDataset) | Oxford | 2018 | Hand | TVCG/ISMAR | Indoor | O | O | O | | | | O | O | | | | | Tango (Asus ZenFone AR) | [ADVIO Dataset](https://github.com/AaltoVision/ADVIO) | Aalto U | 2018 | Hand | ECCV | Urban | O | O | O | | | | O | | | | | | iPhone, Tango, Pixel | | [DeepIO Dataset](http://deepio.cs.ox.ac.uk/) | Oxford | 2018 | Hand | Arxiv | Indoor | O | | O | | | | | | | | | | | | [Aqualoc Dataset](http://www.lirmm.fr/aqualoc/) | ONERA-DTIS | 2018 | ROV | IROS WS | Underwater | O | | O | | | | O | | | | | | Pressure Sensor | | [InteriorNet](https://interiornet.org/) | Imperial College | 2018 | Hand | BMVC | Indoor | O | O | O | | O | | O | O | O | | | | Texture, Lighting, Context, Optical Flow | | [SPO Dataset](https://www.hs-karlsruhe.de/odometry-data/) | TUM, Karlsruhe | 2018 | Hand | Arxiv | Urban | O | | | | | | O | | | | | | Plenoptic Camera | | [Complex Urban](https://sites.google.com/view/complex-urban-dataset) | KAIST-IRAP | 2018 | Veh | ICRA | Urban | O | O | O | O | | O | | | | | | | Encoder | | [KAIST Day/Night](https://sites.google.com/view/multispectral/home) | KAIST-RCV | 2018 | Veh | T-ITS | Urban | O | | O | O | O | O | O | | | | | | Thermal Camera | | [TUM-Visual-Inertial](https://vision.in.tum.de/data/datasets/visual-inertial-dataset) | TUM | 2018 | Hand | Arxiv | Indoor, Urban | | | O | | | | | O | | O | | | | | [Multi Vech Event](https://daniilidis-group.github.io/mvsec/) | Upenn | 2018 | Veh | RA-L | Urban | O | | O | O | | O | O | | O | | | | | | [VI Canoe](https://databank.illinois.edu/datasets/IDB-9342111) | UIUC | 2018 | USV | IJRR | Terrain | O | | O | O | | | O | | | | | | | | [MPO-Japan](https://robotics.ait.kyushu-u.ac.jp/en/archives/research/db) | ETH-RPG | 2017 | UAV / Hand | IJRR | Indoor | O | | O | | | | O | | O | | | | | | [Underwater Cave](http://cirs.udg.edu/caves-dataset/) | UDG | 2017 | AUV | IJRR | Underwater | O | | O | | | | O | | | | O | O | Profiling Sonar | | [Robot @ Home](http://mapir.isa.uma.es/mapirwebsite/index.php/mapir-downloads/203-robot-at-home-dataset) | MRPT | 2017 | Mob | IJRR | Indoor | O | O | | | O | O | | O | | | | | Semantic Labels | | [Zurich Urban MAV](http://rpg.ifi.uzh.ch/zurichmavdataset.html) | ETH-RPG | 2017 | UAV | IJRR | Urban | O | | O | O | | | O | | | | | | Streetview images | | [Chilean Underground](http://dataset.amtc.cl/#) | Trimble | 2017 | Mob | IJRR | Terrain (Underground) | O | | | | | O | O | | | O | | | Encoder | | [SceneNet RGB-D](https://robotvault.bitbucket.io/scenenet-rgbd.html) | Imperial | 2017 | Hand | ICCV | Indoor | O | | | | O | | | O | | | | | | | [Symphony Lake](http://dream.georgiatech-metz.fr/?q=node/79) | Georgia Tech | 2017 | USV | IJRR | Terrain (Lake) | | | O | O | | O | O | | | | | | PTZ camera, Longterm | | [Agricultural robot](http://www.ipb.uni-bonn.de/data/sugarbeets2016/) | Bonn | 2017 | Mob | IJRR | Terrain | O | | | O | O | O | O | O | | | | | Multispectral camera | | [Beach Rover](https://robotics.estec.esa.int/datasets/katwijk-beach-11-2015/) | TEC-MMA | 2017 | Mob | | Terrain | O | | O | O | | O | O | O | | | | | Encoder | | [EuRoC](http://projects.asl.ethz.ch/datasets/doku.php?id=kmavvisualinertialdatasets) | ETH-ASL | 2016 | UAV | IJRR | Indoor | O | O | O | | | | O | | | | | | | | [Cartographer](https://google-cartographer-ros.readthedocs.io/en/latest/data.html) | Google | 2016 | Hand | ICRA | Indoor | | | O | | | O | O | | | | | | | | [TUM-Mono](https://vision.in.tum.de/data/datasets/mono-dataset) | TUM | 2016 | Hand | Arxiv | Indoor, Urban | | | | | | | | | | O | | | Photometric Calibration | | [Cityscape](https://www.cityscapes-dataset.com/) | Daimler AG | 2016 | Veh | CVPR | Urban | O | | | O | O | | O | | | | | | | | [Solar-UAV](http://projects.asl.ethz.ch/datasets/doku.php?id=fsr2015) | ETHZ | 2016 | UAV | CVPR | Terrain | O | O | O | O | | O | | | | | | | | | [CoRBS](http://corbs.dfki.uni-kl.de/?pagerd_tumlltzzf42zsv6de7b9) | DFKI | 2016 | Hand | WACV | Indoor | O | O | | | | | | O | | | | | | | [Oxford-robotcar](http://robotcar-dataset.robots.ox.ac.uk) | Oxford | 2016 | Veh | IJRR | Urban | O | | O | O | | O | O | | | | | | | | [NCLT](http://robots.engin.umich.edu/nclt/) | UMich | 2016 | Mob | IJRR | Urban | O | | O | O | | O | | | | | | | FOG | | [RPG-event](http://rpg.ifi.uzh.ch/davis_data.html) | Kyushu U | 2016 | Veh | IROS | Urban, Terrain | | | O | O | | O | O | | | | | | FARO 3D | | [CCSAD](http://aplicaciones.cimat.mx/Personal/jbhayet/ccsad-dataset) | CIMAT | 2015 | Veh | CAIP | Urban | | | O | O | | | O | | | | | | | | [TUM-Omni](https://vision.in.tum.de/data/datasets/omni-lsdslam) | TUM | 2015 | Hand | IROS | Indoor, Urban | | | | | | | O | | | | | | | | [Augmented ICL-NUIM](http://redwood-data.org/indoor/index.html) | Redwood | 2015 | Hand | CVPR | Indoor | O | O | | | | | | O | | | | | | | [Cambridge Landmark](http://mi.eng.cam.ac.uk/projects/relocalisation/) | Cambridge | 2015 | Hand | ICCV | Urban | O | O | | | | | O | | | | | | | | [ICL-NUIM](https://www.doc.ic.ac.uk/~ahanda/VaFRIC/iclnuim.html) | Imperial | 2014 | Hand | ICRA | Indoor | O | O | | | | | | O | | | | | | | [MRPT-Malaga](https://www.mrpt.org/robotics_datasets) | MRPT | 2014 | Veh | AR | Urban | | | O | O | | O | O | | | | | | | | [KITTI](http://www.cvlibs.net/datasets/kitti/index.php) | KIT | 2013 | Veh | IJRR | Urban | O | | O | O | O | O | O | | | | | | | | [Canadian Planetary](http://asrl.utias.utoronto.ca/datasets/3dmap/#Datasets) | UToronto | 2013 | Mob | IJRR | Terrain | O | | O | O | | O (sensor) | O | | | | | | | | [Microsoft 7 scenes](https://www.microsoft.com/en-us/research/project/rgb-d-dataset-7-scenes/) | Microsoft | 2013 | Hand | CVPR | Indoor | O | O | | | | | O | | | | | | | | [SeqSLAM](https://ieeexplore.ieee.org/document/6224623) | QUT | 2012 | Veh | ICRA | Urban | | | | | O | | O | | | | | | | | [ETH-challenging](http://projects.asl.ethz.ch/datasets/doku.php?id=laserregistration:laserregistration) | ETH-ASL | 2012 | Hand | IJRR | Urban, Terrain | | | O | O | | O | O | O | | | | | | | [TUM-RGBD](https://vision.in.tum.de/data/datasets/rgbd-dataset) | TUM | 2012 | Hand / Mob | IROS | Indoor | O | | O | | | | | O | | | | | | | [ASRL-Kagara-airborne](http://asrl.utias.utoronto.ca/~mdw/kagarudataset.html) | UToronto | 2012 | UAV | FSR | Terrain | | | O | O | | | O | | | | | | | | [Devon Island Rover](http://asrl.utias.utoronto.ca/datasets/devon-island-rover-navigation/) | UToronto | 2012 | Mob | IJRR | Terrain | O | | | O | | | O | | | | | | Sunsensor, Inclinometer | | [ACFR Marine](http://marine.acfr.usyd.edu.au/datasets/) | ACFR | 2012 | AUV | | Underwater | O | | O | | O | | O | | | | O | | | | [UTIAS Multi-Robot](http://asrl.utias.utoronto.ca/datasets/mrclam/) | UT-IAS | 2011 | Mob | IJRR | Urban | O | | | | O | | | | | | | | | | [Ford Campus](http://robots.engin.umich.edu/SoftwareData/Ford) | UMich | 2011 | Veh | IJRR | Urban | O | | O | O | | O | O | | | | | | | | [San francisco](https://sites.google.com/site/chenmodavid/datasets) | Stanford | 2011 | Veh | CVPR | Urban | O | | O | O | O | | O | | | | | | DMI | | [Annotated-laser](https://journals.sagepub.com/doi/10.1177/0278364910389840) | NTU | 2011 | Veh | IJRR | Urban | O | | | | O | O | O | | | | | | | | [MIT-DARPA](http://grandchallenge.mit.edu/wiki/index.php?title=PublicData) | MIT | 2010 | Veh | IJRR | Urban | O | | O | O | O | O | O | | | | | | | | [St Lucia Stereo](http://asrl.utias.utoronto.ca/~mdw/uqstluciadataset.html) | UToronto | 2010 | Veh | ACRA | Urban | | | O | O | | | O | | | | | | | | [St Lucia Multiple Times](https://ieeexplore.ieee.org/abstract/document/5509547) | QUT | 2010 | Veh | ICRA | Urban | | | | O | | | O | | | | | | | | [Marulan](http://sdi.acfr.usyd.edu.au/) | ACFR | 2010 | Mob | IJRR | Terrain | O | | O | O | | O | O | | | O | | | IR | | [COLD](https://www.nada.kth.se/cas/COLD/) | KTH | 2009 | Hand | IJRR | Indoor | O | | | | O | O | O | | | | | | | | [NewCollege](http://www.robots.ox.ac.uk/NewCollegeData/) | Oxford-Robot | 2009 | Mob | IJRR | Urban | O | | O | O | | O | O | | | | | | | | [Rawseeds-indoor](http://www.rawseeds.org/home/category/benchmarking-toolkit/datasets/) | Milano | 2009 | Mob | IROSW | Indoor | O | O | O | | | O | O | | | | O | | | | [Rawseeds-outdoor](http://www.rawseeds.org/home/category/benchmarking-toolkit/datasets/) | Milano | 2009 | Mob | IROSW | Urban | O | O | O | O | | O | O | | | | O | | | | [FABMAP](http://www.robots.ox.ac.uk/~mobile/IJRR_2008_Dataset/) | Oxford-Robot | 2008 | Veh | IJRR | Urban | | | | O | | | O | | | | | | | ## Evaluation _Evaluation methods for SLAM benchmarks_ - Trajectory Evaluation with Alignment [[Paper](http://rpg.ifi.uzh.ch/docs/IROS18_Zhang.pdf)], [[Code](https://github.com/uzh-rpg/rpg_trajectory_evaluation)] - Python package for the evaluation of odometry and SLAM [[Code](https://michaelgrupp.github.io/evo/)] - SLAMBench 3.0: Systematic Automated Reproducible Evaluation of SLAM Systems for Robot Vision Challenges and Scene Understanding [[Paper](https://www.sajad-saeedi.ca/uploads/3/8/5/9/38597021/sb3.pdf)], [[Code](https://github.com/mihaibujanca/slambench3)] - OpenVINS ov_eval Trajectory Evaulation and Alignment, Timing, and Plotting [[Paper](http://udel.edu/~pgeneva/downloads/papers/c10.pdf)], [[Docs](https://docs.openvins.com/evaluation.html)], [[Code](https://github.com/rpng/open_vins/)] ## Categorized By Topic ### Odometry _Dataset for odometry Benchmark_ - [FusionPortable](https://fusionportable.github.io/dataset/fusionportable/) - [VBR SLAM Dataset](https://www.rvp-group.net/slam-dataset.html) - [FinnForest Dataset](http://urn.fi/urn:nbn:fi:att:9b8157a7-1e0f-47c2-bd4e-a19a7e952c0d) - [ICL Dataset](https://peringlab.org/lmdata/) - [UZH-FPV Drone Racing](http://rpg.ifi.uzh.ch/uzh-fpv.html) - [TUM-Visual-Inertial](https://vision.in.tum.de/data/datasets/visual-inertial-dataset) - [Visual-Inertial Canoe Dataset](https://databank.illinois.edu/datasets/IDB-9342111) - [Multi Vehicle Stereo Event Camera Dataset](https://docs.google.com/spreadsheets/d/1mudM7LxXv09ywuQGDp3t_RlIjIdwzg_ZaMu78agLmH4/edit#gid=0) - [Zurich Urban Micro Aerial Vehicle Dataset](http://rpg.ifi.uzh.ch/zurichmavdataset.html) - [EuRoC MAV Dataset](https://projects.asl.ethz.ch/datasets/doku.php?id=kmavvisualinertialdatasets) - [TUM Monocular Cameras Dataset](https://vision.in.tum.de/data/datasets/mono-dataset) - [Event-Camera Dataset and Simulator](http://rpg.ifi.uzh.ch/davis_data.html) - [TUM Omnidirectional Cameras Dataset](https://vision.in.tum.de/data/datasets/omni-lsdslam) - [ICL-NUIM RGBD Dataset](https://www.doc.ic.ac.uk/~ahanda/VaFRIC/iclnuim.html) - [TUM RGB-D SLAM Dataset and Benchmark](https://vision.in.tum.de/data/datasets/rgbd-dataset) - [Google Cartographer](https://google-cartographer-ros.readthedocs.io/en/latest/data.html) - [ADVIO Dataset](https://github.com/AaltoVision/ADVIO) - [Deep Inertial Odometry Dataset](http://deepio.cs.ox.ac.uk/) - [Aqualoc Underwater Dataset](http://www.lirmm.fr/aqualoc/) - [Rosario Agricultural Dataset](http://www.cifasis-conicet.gov.ar/robot/doku.php) - [Stereo Plenoptic Odometry Dataset](https://www.hs-karlsruhe.de/odometry-data/) - [MADMAX Mars Dataset](https://rmc.dlr.de/morocco2018/) - [Hilti SLAM Dataset](https://hilti-challenge.com/) - [VECtor Dataset](https://star-datasets.github.io/vector/) ### Mapping _Dataset for mapping task_ - [FusionPortable](https://fusionportable.github.io/dataset/fusionportable/) - [Collaborative SLAM Dataset (CSD)](https://github.com/torrvision/CollaborativeSLAMDataset) - [Complex Urban](https://sites.google.com/view/complex-urban-dataset) - [Multi-modal Panoramic 3D Outdoor Dataset (MPO)](https://robotics.ait.kyushu-u.ac.jp/en/archives/research/db) - [Underwater Caves SONAR and Vision Dataset](http://cirs.udg.edu/caves-dataset/) - [Chilean Underground Mine Dataset](http://dataset.amtc.cl/#) - [Oxford Robotcar Dataset](http://robotcar-dataset.robots.ox.ac.uk/) - [University of Michigan North Campus Long-Term (NCLT) Vision and LIDAR Dataset](http://robots.engin.umich.edu/nclt/) - [Málaga Stereo and Laser Urban Data Set](https://www.mrpt.org/MalagaUrbanDataset) - [KITTI Vision Benchmark Suite](http://www.cvlibs.net/datasets/kitti/index.php) - [Challenging data sets for point cloud registration algorithms](https://projects.asl.ethz.ch/datasets/doku.php?id=laserregistration:laserregistration) - [ACFR Marine Robotics Dataset](http://marine.acfr.usyd.edu.au/datasets/) - [Ford Campus Vision and Lidar Dataset](http://robots.engin.umich.edu/SoftwareData/Ford) - [InteriorNet](https://interiornet.org/) - [FMDataset](https://github.com/zhuzunjie17/FastFusion) - [MADMAX Mars Dataset](https://rmc.dlr.de/morocco2018/) ### Place Recognition _Dataset gives correspondences of places (images)_ - [Visual-Inertial Canoe Dataset](https://databank.illinois.edu/datasets/IDB-9342111) - [Symphony Lake Dataset](http://dream.georgiatech-metz.fr/?q=node/79) - [Alderley Day/Night Dataset](https://wiki.qut.edu.au/pages/viewpage.action?pageId=181178395) - [St Lucia Multiple Times of Day](https://wiki.qut.edu.au/display/cyphy/St+Lucia+Multiple+Times+of+Day) - [New College Vision and Laser Data Set](http://www.robots.ox.ac.uk/NewCollegeData/) - [FABMAP Dataset](http://www.robots.ox.ac.uk/~mobile/IJRR_2008_Dataset/) ### Localization _Dataset for metric-level localization_ - [FusionPortable](https://fusionportable.github.io/dataset/fusionportable/) - [VBR SLAM Dataset](https://www.rvp-group.net/slam-dataset.html) - [ICL Dataset](https://peringlab.org/lmdata/) - [Cambridge Landmark Dataset](http://mi.eng.cam.ac.uk/projects/relocalisation/) - [KITTI Vision Benchmark Suite](http://www.cvlibs.net/datasets/kitti/index.php) - [Microsoft 7 scenes](https://www.microsoft.com/en-us/research/project/rgb-d-dataset-7-scenes/) - [San Francisco Landmark Dataset](https://sites.google.com/site/chenmodavid/datasets) - [MADMAX Mars Dataset](https://rmc.dlr.de/morocco2018/) ### Perception _Dataset with semantic labels / correspondences_ - [KAIST Day/Night Dataset](https://sites.google.com/view/multispectral/home) - [Robot @ Home Dataset](http://mapir.isa.uma.es/mapirwebsite/index.php/mapir-downloads/203-robot-at-home-dataset) - [SceneNet RBG-D Dataset](https://robotvault.bitbucket.io/scenenet-rgbd.html) - [Sugar Beets 2016, Agricultural Robot Dataset](http://www.ipb.uni-bonn.de/data/sugarbeets2016/) - [CityScapes Dataset](https://www.cityscapes-dataset.com/) - [KITTI Vision Benchmark Suite](http://www.cvlibs.net/datasets/kitti/index.php) - [Multi-Sensor Perception (Marulan) Dataset ](http://sdi.acfr.usyd.edu.au/) - [InteriorNet](https://interiornet.org/) - [FusionPortableV2](https://fusionportable.github.io/dataset/fusionportable_v2/) ## Categorized By Characteristics ### Large-scale _City-scale map, kilometer level Map_ - [FusionPortableV2](https://fusionportable.github.io/dataset/fusionportable_v2/) - [VBR SLAM Dataset](https://www.rvp-group.net/slam-dataset.html) - [Complex Urban](https://sites.google.com/view/complex-urban-dataset) - [Multi Vehicle Stereo Event Camera Dataset](https://docs.google.com/spreadsheets/d/1mudM7LxXv09ywuQGDp3t_RlIjIdwzg_ZaMu78agLmH4/edit#gid=0) - [Multi-modal Panoramic 3D Outdoor Dataset (MPO)](https://robotics.ait.kyushu-u.ac.jp/en/archives/research/db) - [CityScapes Dataset](https://www.cityscapes-dataset.com/) - [Solar-powered UAV Sensing and Mapping Dataset](https://projects.asl.ethz.ch/datasets/doku.php?id=fsr2015) - [Oxford Robotcar Dataset](http://robotcar-dataset.robots.ox.ac.uk/) - [CCSAD (Stereo Urban) Dattaset](http://aplicaciones.cimat.mx/Personal/jbhayet/ccsad-dataset) - [Málaga Stereo and Laser Urban Data Set](https://www.mrpt.org/MalagaUrbanDataset) - [KITTI Vision Benchmark Suite](http://www.cvlibs.net/datasets/kitti/index.php) - [Kagaru Airborne Stereo Dataset Dataset](http://asrl.utias.utoronto.ca/~mdw/kagarudataset.html) - [ACFR Marine Robotics Dataset](http://marine.acfr.usyd.edu.au/datasets/) ### Long-term _Multi-session, long-term data collection_ - [FinnForest Dataset](http://urn.fi/urn:nbn:fi:att:9b8157a7-1e0f-47c2-bd4e-a19a7e952c0d) - [KAIST Day/Night Dataset](https://sites.google.com/view/multispectral/home) - [Visual-Inertial Canoe Dataset](https://databank.illinois.edu/datasets/IDB-9342111) - [Symphony Lake Dataset](http://dream.georgiatech-metz.fr/?q=node/79) - [Oxford Robotcar Dataset](http://robotcar-dataset.robots.ox.ac.uk/) - [University of Michigan North Campus Long-Term (NCLT) Vision and LIDAR Dataset](http://robots.engin.umich.edu/nclt/) - [Alderley Day/Night Dataset](https://wiki.qut.edu.au/pages/viewpage.action?pageId=181178395) - [St Lucia Multiple Times of Day](https://wiki.qut.edu.au/display/cyphy/St+Lucia+Multiple+Times+of+Day) ### Map Complexity _Variation of mapping structures_ - [VBR SLAM Dataset](https://www.rvp-group.net/slam-dataset.html) - [Complex Urban](https://sites.google.com/view/complex-urban-dataset/) - [Multi Vehicle Stereo Event Camera Dataset](https://docs.google.com/spreadsheets/d/1mudM7LxXv09ywuQGDp3t_RlIjIdwzg_ZaMu78agLmH4/edit#gid=0) - [Multi-modal Panoramic 3D Outdoor Dataset (MPO)](https://robotics.ait.kyushu-u.ac.jp/en/archives/research/db) - [Málaga Stereo and Laser Urban Data Set](https://www.mrpt.org/MalagaUrbanDataset) - [KITTI Vision Benchmark Suite](http://www.cvlibs.net/datasets/kitti/index.php) - [Challenging data sets for point cloud registration - algorithms](https://projects.asl.ethz.ch/datasets/doku.php?id=laserregistration:laserregistration) ### Extreme Condition _Extreme environment, motions_ - [FinnForest Dataset](http://urn.fi/urn:nbn:fi:att:9b8157a7-1e0f-47c2-bd4e-a19a7e952c0d) - [UZH-FPV Drone Racing](http://rpg.ifi.uzh.ch/uzh-fpv.html) - [Underwater Caves SONAR and Vision Dataset](http://cirs.udg.edu/caves-dataset/): Underwater Environment - [Chilean Underground Mine Dataset](http://dataset.amtc.cl/#): Underground Environment - [CityScapes Dataset](https://www.cityscapes-dataset.com/): Foggy Scene - [EuRoC MAV Dataset](https://projects.asl.ethz.ch/datasets/doku.php?id=kmavvisualinertialdatasets): Fast motion - [Multi-Sensor Perception (Marulan) Dataset ](http://sdi.acfr.usyd.edu.au/): Smoky, dust, and Rain condition ## Categorized by Platform ### Vehicle _Commercial Vehicle (Four-wheeled on the road)_ - [FusionPortableV2 Dataset](https://fusionportable.github.io/dataset/fusionportable_v2/) - [VBR SLAM Dataset](https://www.rvp-group.net/slam-dataset.html) - [FinnForest Dataset](http://urn.fi/urn:nbn:fi:att:9b8157a7-1e0f-47c2-bd4e-a19a7e952c0d) - [Complex Urban Dataset](https://sites.google.com/view/complex-urban-dataset/) - [Multi Vehicle Stereo Event Camera Dataset](https://docs.google.com/spreadsheets/d/1mudM7LxXv09ywuQGDp3t_RlIjIdwzg_ZaMu78agLmH4/edit#gid=0) - [KAIST Day/Night Dataset](https://sites.google.com/view/multispectral/home) - [Multi-modal Panoramic 3D Outdoor Dataset (MPO)](https://robotics.ait.kyushu-u.ac.jp/en/archives/research/db) - [Oxford Robotcar Dataset](http://robotcar-dataset.robots.ox.ac.uk/) - [CityScapes Dataset](https://www.cityscapes-dataset.com/) - [CCSAD (Stereo Urban) Dattaset](http://aplicaciones.cimat.mx/Personal/jbhayet/ccsad-dataset) - [Málaga Stereo and Laser Urban Data Set](https://www.mrpt.org/MalagaUrbanDataset) - [KITTI Vision Benchmark Suite](http://www.cvlibs.net/datasets/kitti/index.php) - [Day and Night with Lateral Pose Change Dataset](https://wiki.qut.edu.au/display/cyphy/Day+and+Night+with+Lateral+Pose+Change+Datasets) - [Alderley Day/Night Dataset](https://wiki.qut.edu.au/pages/viewpage.action?pageId=181178395) - [Annotated-laser Dataset](http://any.csie.ntu.edu.tw/data) (Link Broken) - [San Francisco Landmark Dataset](https://sites.google.com/site/chenmodavid/datasets) - [Ford Campus Vision and Lidar Dataset](http://robots.engin.umich.edu/SoftwareData/Ford) - [St Lucia Stereo Vehicular Dataset](http://asrl.utias.utoronto.ca/~mdw/uqstluciadataset.html) - [St Lucia Multiple Times of Day](https://wiki.qut.edu.au/display/cyphy/St+Lucia+Multiple+Times+of+Day) - [MIT DARPA Urban Challenge Dataset](http://grandchallenge.mit.edu/wiki/index.php?title=PublicData) - [FABMAP Dataset](http://www.robots.ox.ac.uk/~mobile/IJRR_2008_Dataset/) ### Mobile Robot _Mobile Robots (Ex. Husky, Rover.. )_ - [Rosario Dataset](http://www.cifasis-conicet.gov.ar/robot/doku.php) - [Sugar Beets 2016, Agricultural Robot Dataset](http://www.ipb.uni-bonn.de/data/sugarbeets2016/) - [Chilean Underground Mine Dataset](http://dataset.amtc.cl/#) - [Katwijk Beach Planetary Rover Dataset](https://robotics.estec.esa.int/datasets/katwijk-beach-11-2015/) - [Robot @ Home Dataset](http://mapir.isa.uma.es/mapirwebsite/index.php/mapir-downloads/203-robot-at-home-dataset) - [University of Michigan North Campus Long-Term (NCLT) Vision and LIDAR Dataset](http://robots.engin.umich.edu/nclt/) - [Rawseeds In/Outdoor Dataset](http://www.rawseeds.org/home/category/benchmarking-toolkit/datasets/) - [Canadian Planetary Emulation Terrain 3D Mapping Dataset](http://asrl.utias.utoronto.ca/datasets/3dmap/#Datasets) - [Devon Island Rover Navigation Dataset](http://asrl.utias.utoronto.ca/datasets/devon-island-rover-navigation/) - [Multi-Robot Cooperative Localization and Mapping Dataset](http://asrl.utias.utoronto.ca/datasets/mrclam/) - [Multi-Sensor Perception (Marulan) Dataset ](http://sdi.acfr.usyd.edu.au/) - [TUM RGB-D SLAM Dataset and Benchmark](https://vision.in.tum.de/data/datasets/rgbd-dataset) - [New College Vision and Laser Data Set](http://www.robots.ox.ac.uk/NewCollegeData/) - [MADMAX Mars Dataset](https://rmc.dlr.de/morocco2018/) ### Unmanned Aerial Vehicle _Unmanned aerial robots include drone_ - [ICL Dataset](https://peringlab.org/lmdata/) - [UZH-FPV Drone Racing](http://rpg.ifi.uzh.ch/uzh-fpv.html) - [Zurich Urban Micro Aerial Vehicle Dataset](http://rpg.ifi.uzh.ch/zurichmavdataset.html) - [Event-Camera Dataset and Simulator](http://rpg.ifi.uzh.ch/davis_data.html) - [Solar-powered UAV Sensing and Mapping Dataset](https://projects.asl.ethz.ch/datasets/doku.php?id=fsr2015) - [EuRoC MAV Dataset](https://projects.asl.ethz.ch/datasets/doku.php?id=kmavvisualinertialdatasets) - [Kagaru Airborne Stereo Dataset Dataset](http://asrl.utias.utoronto.ca/~mdw/kagarudataset.html) ### Autonomous Underwater Vehicle _Underwater robots include ROV for simplicity_ - [Aqualoc Underwater Dataset](http://www.lirmm.fr/aqualoc/) - [Underwater Caves SONAR and Vision Dataset](http://cirs.udg.edu/caves-dataset/) - [ACFR Marine Robotics Dataset](http://marine.acfr.usyd.edu.au/datasets/) ### Unmanned Surface Vehicle _Water surface vehicle such as canoe and boat_ - [Visual-Inertial Canoe Dataset](https://databank.illinois.edu/datasets/IDB-9342111) - [Symphony Lake Dataset](http://dream.georgiatech-metz.fr/?q=node/79) ### Hand-held Device _Hand-held platform by human_ - [VBR SLAM Dataset](https://www.rvp-group.net/slam-dataset.html) - [Collaborative SLAM Dataset (CSD)](https://github.com/torrvision/CollaborativeSLAMDataset) - [SceneNet RBG-D Dataset](https://robotvault.bitbucket.io/scenenet-rgbd.html) - [Event-Camera Dataset and Simulator](http://rpg.ifi.uzh.ch/davis_data.html) - [Comprehensive RGB-D Benchmark (CoRBS)](http://corbs.dfki.uni-kl.de/?pagerd_tumlltzzf42zsv6de7b9) - [Augmented ICL-NUIM Reconstruction Dataset](http://redwood-data.org/indoor/index.html) - [ICL-NUIM RGBD Dataset](https://www.doc.ic.ac.uk/~ahanda/VaFRIC/iclnuim.html) - [Challenging data sets for point cloud registration algorithms](https://projects.asl.ethz.ch/datasets/doku.php?id=laserregistration:laserregistration) - [Cosy Localization Database (COLD)](https://www.pronobis.pro/#data) - [ADVIO Dataset](https://github.com/AaltoVision/ADVIO) - [Deep Inertial Odometry Dataset](http://deepio.cs.ox.ac.uk/) - [InteriorNet](https://interiornet.org/) - [Stereo Plenoptic Dataset](https://www.hs-karlsruhe.de/odometry-data/) - [FMDataset](https://github.com/zhuzunjie17/FastFusion) - [Hilti SLAM Dataset](https://hilti-challenge.com/) ## Categorized by Environment ### Urban _City, campus, town, and infrastructures - [VBR SLAM Dataset](https://www.rvp-group.net/slam-dataset.html) - [UZH-FPV Drone Racing](http://rpg.ifi.uzh.ch/uzh-fpv.html) - [ADVIO Dataset](https://github.com/AaltoVision/ADVIO) - [Stereo Plenoptic Dataset](https://www.hs-karlsruhe.de/odometry-data/) - [KAIST Day/Night Dataset](https://sites.google.com/view/multispectral/home) - [TUM-Visual-Inertial](https://vision.in.tum.de/data/datasets/visual-inertial-dataset) - [Complex Urban](https://sites.google.com/view/complex-urban-dataset/) - [Multi Vehicle Stereo Event Camera Dataset](https://docs.google.com/spreadsheets/d/1mudM7LxXv09ywuQGDp3t_RlIjIdwzg_ZaMu78agLmH4/edit#gid=0) - [Zurich Urban Micro Aerial Vehicle Dataset](http://rpg.ifi.uzh.ch/zurichmavdataset.html) - [TUM Monocular Cameras Dataset](https://vision.in.tum.de/data/datasets/mono-dataset) - [CityScapes Dataset](https://www.cityscapes-dataset.com/) - [Oxford Robotcar Dataset](http://robotcar-dataset.robots.ox.ac.uk/) - [University of Michigan North Campus Long-Term (NCLT) Vision and LIDAR Dataset](http://robots.engin.umich.edu/nclt/) - [Event-Camera Dataset and Simulator](http://rpg.ifi.uzh.ch/davis_data.html) - [CCSAD (Stereo Urban) Dattaset](http://aplicaciones.cimat.mx/Personal/jbhayet/ccsad-dataset) - [TUM Omnidirectional Cameras Dataset](https://vision.in.tum.de/data/datasets/omni-lsdslam) - [Cambridge Landmark Dataset](http://mi.eng.cam.ac.uk/projects/relocalisation/) - [Málaga Stereo and Laser Urban Data Set](https://www.mrpt.org/MalagaUrbanDataset) - [KITTI Vision Benchmark Suite](http://www.cvlibs.net/datasets/kitti/index.php) - [Alderley Day/Night Dataset](https://wiki.qut.edu.au/pages/viewpage.action?pageId=181178395) - [Challenging data sets for point cloud registration algorithms](https://projects.asl.ethz.ch/datasets/doku.php?id=laserregistration:laserregistration) - [Multi-Robot Cooperative Localization and Mapping Dataset](http://asrl.utias.utoronto.ca/datasets/mrclam/) - [Ford Campus Vision and Lidar Dataset](http://robots.engin.umich.edu/SoftwareData/Ford) - [San Francisco Landmark Dataset](https://sites.google.com/site/chenmodavid/datasets) - [Annotated-laser Dataset](http://any.csie.ntu.edu.tw/data) (Link Broken) - [MIT DARPA Urban Challenge Dataset](http://grandchallenge.mit.edu/wiki/index.php?title=PublicData) - [St Lucia Stereo Vehicular Dataset](http://asrl.utias.utoronto.ca/~mdw/uqstluciadataset.html) - [St Lucia Multiple Times of Day](https://wiki.qut.edu.au/display/cyphy/St+Lucia+Multiple+Times+of+Day) - [New College Vision and Laser Data Set](http://www.robots.ox.ac.uk/NewCollegeData/) - [Rawseeds In/Outdoor Dataset](http://www.rawseeds.org/home/category/benchmarking-toolkit/datasets/) - [FABMAP Dataset](http://www.robots.ox.ac.uk/~mobile/IJRR_2008_Dataset/) ### Indoor _Indoor environment_ - [VBR SLAM Dataset](https://www.rvp-group.net/slam-dataset.html) - [ICL Dataset](https://peringlab.org/lmdata/) - [FMDataset](https://github.com/zhuzunjie17/FastFusion) - [UZH-FPV Drone Racing](http://rpg.ifi.uzh.ch/uzh-fpv.html) - [Collaborative SLAM Dataset (CSD)](https://github.com/torrvision/CollaborativeSLAMDataset) - [InteriorNet](https://interiornet.org/) - [TUM-Visual-Inertial](https://vision.in.tum.de/data/datasets/visual-inertial-dataset) - [Multi-modal Panoramic 3D Outdoor Dataset (MPO)](https://robotics.ait.kyushu-u.ac.jp/en/archives/research/db) - [Robot @ Home Dataset](http://mapir.isa.uma.es/mapirwebsite/index.php/mapir-downloads/203-robot-at-home-dataset) - [SceneNet RBG-D Dataset](https://robotvault.bitbucket.io/scenenet-rgbd.html) - [EuRoC MAV Dataset](https://projects.asl.ethz.ch/datasets/doku.php?id=kmavvisualinertialdatasets) - [TUM Monocular Cameras Dataset](https://vision.in.tum.de/data/datasets/mono-dataset) - [Comprehensive RGB-D Benchmark (CoRBS)](http://corbs.dfki.uni-kl.de/?pagerd_tumlltzzf42zsv6de7b9) - [TUM Omnidirectional Cameras Dataset](https://vision.in.tum.de/data/datasets/omni-lsdslam) - [Augmented ICL-NUIM Reconstruction Dataset](http://redwood-data.org/indoor/index.html) - [ICL-NUIM RGBD Dataset](https://www.doc.ic.ac.uk/~ahanda/VaFRIC/iclnuim.html) - [Microsoft 7 scenes](https://www.microsoft.com/en-us/research/project/rgb-d-dataset-7-scenes/) - [TUM RGB-D SLAM Dataset and Benchmark](https://vision.in.tum.de/data/datasets/rgbd-dataset) - [Cosy Localization Database (COLD)](https://www.pronobis.pro/#data) - [Rawseeds In/Outdoor Dataset](http://www.rawseeds.org/home/category/benchmarking-toolkit/datasets/) - [Google Cartographer](https://google-cartographer-ros.readthedocs.io/en/latest/data.html) ### Terrain _Rough terrain, underground, lake and farm_ - [VBR SLAM Dataset](https://www.rvp-group.net/slam-dataset.html) - [FinnForest Dataset](http://urn.fi/urn:nbn:fi:att:9b8157a7-1e0f-47c2-bd4e-a19a7e952c0d) - [Rosario Agricultural Dataset](http://www.cifasis-conicet.gov.ar/robot/doku.php) - [Visual-Inertial Canoe Dataset](https://databank.illinois.edu/datasets/IDB-9342111) - [Chilean Underground Mine Dataset](http://dataset.amtc.cl/#) - [Symphony Lake Dataset](http://dream.georgiatech-metz.fr/?q=node/79) - [Sugar Beets 2016, Agricultural Robot Dataset](http://www.ipb.uni-bonn.de/data/sugarbeets2016/) - [Katwijk Beach Planetary Rover Dataset](https://robotics.estec.esa.int/datasets/katwijk-beach-11-2015/) - [Solar-powered UAV Sensing and Mapping Dataset](https://projects.asl.ethz.ch/datasets/doku.php?id=fsr2015) - [Event-Camera Dataset and Simulator](http://rpg.ifi.uzh.ch/davis_data.html) - [Canadian Planetary Emulation Terrain 3D Mapping Dataset](http://asrl.utias.utoronto.ca/datasets/3dmap/#Datasets) - [Challenging data sets for point cloud registration - algorithms](https://projects.asl.ethz.ch/datasets/doku.php?id=laserregistration:laserregistration) - [Kagaru Airborne Stereo Dataset Dataset](http://asrl.utias.utoronto.ca/~mdw/kagarudataset.html) - [Devon Island Rover Navigation Dataset](http://asrl.utias.utoronto.ca/datasets/devon-island-rover-navigation/) - [Multi-Sensor Perception (Marulan) Dataset ](http://sdi.acfr.usyd.edu.au/) - [MADMAX Mars Dataset](https://rmc.dlr.de/morocco2018/) ### Underwater _Underwater floor, cave_ - [Aqualoc Underwater Dataset](http://www.lirmm.fr/aqualoc/) - [Underwater Caves SONAR and Vision Dataset](http://cirs.udg.edu/caves-dataset/) - [ACFR Marine Robotics Dataset](http://marine.acfr.usyd.edu.au/datasets/) ### Simulation _Simulation Scene_ - [TartanAir](https://theairlab.org/tartanair-dataset/) ## Contributing Please Feel free to send a [pull request](https://github.com/youngguncho/awesome-slam-datasets/pulls) to modify the list or add datasets. ## License [![CC0](http://mirrors.creativecommons.org/presskit/buttons/88x31/svg/cc-zero.svg)](https://creativecommons.org/publicdomain/zero/1.0/) To the extent possible under law, [Younggun Cho](https://github.com/youngguncho) has waived all copyright and related or neighboring rights to this work. --- ## About Collider.club This card belongs to the curated knowledge base of **[Collider.club](https://collider.club)** — a closed business club for entrepreneurs, engineers, investors and domain experts building projects for international markets. Members work across DeFi, AI/ML, FinTech, Web3, banking, hardware and venture capital, and the club runs closed sessions on high-margin niches with anonymous speakers. - Club: - Collection: Collider.club curated card library (`mdrss-card/v2`) - Maintainer: Collider.club editorial team ## License MIT License — Copyright (c) 2026 Collider.club. Full text: [LICENSE](../../LICENSE) ·