| GERALD |
🚂 |
2023 |
✅ |
❌ |
❌ |
❌ |
❌ |
LICENSE-2.0 |
⛔ |
| OSDaR23 |
🚂 |
2023 |
✅ |
❌ |
❌ |
❌ |
❌ |
CC BY-SA 3.0 |
⛔ |
| RAWPED |
🚂 |
2020 |
✅ |
❌ |
❌ |
❌ |
❌ |
❓ |
4 |
| BOREAS |
🚘 |
2022 |
✅ |
❌ |
❌ |
❌ |
❌ |
CC BY-NC-SA 4.0 |
⛔ |
| FRSign |
🚂 |
2020 |
✅ |
❌ |
❌ |
❌ |
❌ |
CC BY-NC-SA 4.0 |
2 |
| DDAD |
🚘 |
2020 |
❌ |
❌ |
❌ |
❌ |
❌ |
CC BY-NC-SA 4.0 |
⛔ |
| PandaSet |
🚘 |
2020 |
✅ |
✅ |
❌ |
❌ |
❌ |
BSD 3-Clause License |
⛔ |
| Ford Autonomous Vehicle Dataset |
🚘 |
2020 |
✅ |
❌ |
❌ |
❌ |
❌ |
CC BY-NC-SA 4.0 |
⛔ |
| Canadian Adverse Driving Conditions Dataset |
🚘 |
2020 |
✅ |
❌ |
❌ |
❌ |
❌ |
CC BY-NC 4.0 |
⛔ |
| RailSem19 |
🚂 |
2019 |
✅ |
✅ |
❌ |
❌ |
✅ |
CC BY-NC 4.0 |
10 |
| StreetHazards |
🚘 |
2019 |
❌ |
✅ |
❌ |
❌ |
❌ |
MIT |
11 |
| SemanticKITTI |
🚘 |
2019 |
✅ |
✅ |
❌ |
❌ |
✅ |
CC BY-NC-SA 4.0 |
138 |
| Astyx HiRes2019 |
🚘 |
2019 |
✅ |
❌ |
❌ |
❌ |
❌ |
CC BY-NC-SA 4.0 |
19 |
| Audi A2D2 |
🚘 |
2019 |
✅ |
✅ |
❌ |
❌ |
❌ |
CC BY-ND 4.0 |
8 |
| Unsupervised Llamas |
🚘 |
2019 |
❌ |
❌ |
❌ |
❌ |
✅ |
MIT |
3 |
| Boxy Dataset |
🚘 |
2019 |
✅ |
❌ |
❌ |
❌ |
❌ |
MIT |
9 |
| Brno Urban Dataset |
🚘 |
2019 |
❌ |
❌ |
❌ |
❌ |
❌ |
MIT |
2 |
| INTERACTION Dataset |
🚘 |
2019 |
❌ |
❌ |
❌ |
❌ |
❌ |
special |
42 |
| A*3D |
🚘 |
2019 |
✅ |
❌ |
❌ |
❌ |
❌ |
CC BY-NC-SA 4.0 |
12 |
| Waymo Open Dataset |
🚘 |
2019 |
✅ |
❌ |
❌ |
❌ |
❌ |
special |
⛔ |
| Lyft Level 5 |
🚘 |
2019 |
✅ |
✅ |
❌ |
❌ |
❌ |
CC BY-NC-SA 4.0 |
⛔ |
| Comma 2k19 |
🚘 |
2019 |
❌ |
❌ |
❌ |
❌ |
❌ |
MIT |
7 |
| Argoverse |
🚘 |
2019 |
✅ |
✅ |
❌ |
✅ |
✅ |
CC BY-NC-SA 4.0 |
166 |
| Berkeley Deep Drive (BDD100K) |
🚘 |
2018 |
✅ |
✅ |
❌ |
❌ |
✅ |
BSD 3-Clause License |
⛔ |
| KAIST Multispectral Dataset |
🚘 |
2018 |
✅ |
❌ |
❌ |
❌ |
❌ |
CC BY-NC-SA 3.0 |
15 |
| KAIST Urban Dataset |
🚘 |
2018 |
❌ |
❌ |
❌ |
❌ |
❌ |
CC BY-NC-SA 4.0 |
11 |
| Road Damage Dataset |
🚘 |
2018 |
✅ |
❌ |
❌ |
❌ |
❌ |
MIT |
33 |
| HD1K Benchmark Suite |
🚘 |
2018 |
❌ |
❌ |
❌ |
❌ |
❌ |
❓ |
⛔ |
| DBNET |
🚘 |
2018 |
❌ |
❌ |
❌ |
❌ |
❌ |
Apache License 2.0 |
23 |
| CULane Dataset |
🚘 |
2018 |
❌ |
❌ |
❌ |
❌ |
✅ |
special |
71 |
| ApolloScape |
🚘 |
2018 |
❌ |
✅ |
❌ |
❌ |
✅ |
special |
102 |
| nuScenes |
🚘 |
2018 |
✅ |
❌ |
❌ |
✅ |
❌ |
CC BY-NC-SA 4.0 |
⛔ |
| DR(eye)VE Dataset |
🚘 |
2018 |
❌ |
❌ |
❌ |
✅ |
❌ |
MIT |
36 |
| TuSimple |
🚘 |
2017 |
✅ |
❌ |
❌ |
❌ |
✅ |
Apache License 2.0 |
⛔ |
| Nexet Dataset |
🚘 |
2017 |
✅ |
❌ |
❌ |
❌ |
❌ |
❓ |
⛔ |
| Bosch Small Traffic Lights |
🚘 |
2017 |
✅ |
❌ |
❌ |
❌ |
❌ |
MIT |
47 |
| JAAD (Joint Attention in Autonomous Driving) |
🚘 |
2017 |
✅ |
❌ |
❌ |
✅ |
❌ |
MIT |
8 |
| DAVIS |
🚘 |
2017 |
❌ |
❌ |
❌ |
❌ |
❌ |
CC BY 4.0 |
18 |
| Mapillary Vistas Dataset |
🚘 |
2017 |
❌ |
✅ |
❌ |
❌ |
❌ |
special |
54 |
| The UAH-DriveSet |
🚘 |
2016 |
❌ |
❌ |
❌ |
✅ |
❌ |
special |
5 |
| Udacity |
🚘 |
2016 |
✅ |
❌ |
❌ |
❌ |
❌ |
MIT |
⛔ |
| LostAndFoundDataset |
🚘 |
2016 |
❌ |
✅ |
❌ |
❌ |
❌ |
special |
3 |
| Elektra Datasets |
🚘 |
2016 |
✅ |
❌ |
❌ |
❌ |
❌ |
special |
⛔ |
| the comma.ai driving dataset |
🚘 |
2016 |
❌ |
❌ |
❌ |
❌ |
❌ |
CC BY-NC-SA 3.0 |
⛔ |
| Oxford RobotCar Dataset |
🚘 |
2016 |
❌ |
❌ |
❌ |
❌ |
❌ |
CC BY-NC-SA 4.0 |
49 |
| Highway Workzones |
🚘 |
2015 |
✅ |
❌ |
❌ |
❌ |
❌ |
❓ |
⛔ |
| CityScapes |
🚘 |
2015 |
❌ |
✅ |
❌ |
❌ |
❌ |
special |
24 |
| Brain4Cars |
🚘 |
2015 |
❌ |
❌ |
❌ |
✅ |
❌ |
special |
19 |
| CMU |
🚘 |
2014 |
❌ |
❌ |
❌ |
❌ |
❌ |
❓ |
3 |
| Malaga |
🚘 |
2014 |
❌ |
❌ |
❌ |
❌ |
❌ |
❓ |
13 |
| Ground Truth Stixel Dataset |
🚘 |
2013 |
❌ |
❌ |
✅ |
❌ |
❌ |
❓ |
8 |
| TME motorway dataset |
🚘 |
2012 |
✅ |
❌ |
❌ |
❌ |
❌ |
❓ |
13 |
| KITTI |
🚘 |
2012 |
✅ |
✅ |
❌ |
❌ |
✅ |
CC BY-NC-SA 4.0 |
155 |
| Challenging Data for Stereo and Optical Flow |
🚘 |
2012 |
❌ |
❌ |
❌ |
❌ |
❌ |
special |
11 |
| LISA Traffic Sign Dataset |
🚘 |
2012 |
✅ |
❌ |
❌ |
❌ |
❌ |
special |
21 |
| German Traffic Sign Recognition Benchmark |
🚘 |
2012 |
✅ |
❌ |
❌ |
❌ |
❌ |
❓ |
35 |
| DIPLECS Autonomous Driving Datasets |
🚘 |
2011 |
❌ |
❌ |
❌ |
✅ |
❌ |
special |
1 |
| The Stanford Track Collection |
🚘 |
2011 |
❌ |
❌ |
✅ |
❌ |
❌ |
❓ |
6 |
| Ford Campus Vision and Lidar Data Set |
🚘 |
2011 |
❌ |
❌ |
❌ |
❌ |
❌ |
❓ |
13 |
| Belgian Traffic Sign Recognition |
🚘 |
2009 |
✅ |
❌ |
❌ |
❌ |
❌ |
❓ |
6 |
| Caltech Pedestrian |
🚘 |
2009 |
✅ |
❌ |
❌ |
❌ |
❌ |
CC BY 4.0 |
75 |
| Multi-Cue Onboard Pedestrian Detection |
🚘 |
2009 |
✅ |
❌ |
❌ |
❌ |
❌ |
❓ |
23 |
| CamVid |
🚘 |
2008 |
❌ |
✅ |
❌ |
❌ |
❌ |
❓ |
31 |
| ETH Pedestrian |
🚘 |
2008 |
✅ |
❌ |
❌ |
❌ |
❌ |
❓ |
34 |
| EISATS |
🚘 |
2008 |
❌ |
❌ |
❌ |
✅ |
❌ |
special |
13 |
| Daimler Pedestrian Dataset |
🚘 |
2006 |
✅ |
✅ |
❌ |
❌ |
❌ |
special |
21 |