
[KITTI](http://www.cvlibs.net/datasets/kitti/index.php)
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- 2D Object Detection: http://www.cvlibs.net/datasets/kitti/eval_object.php?obj_benchmark=2d
- 3D Object Detection: http://www.cvlibs.net/datasets/kitti/eval_object.php?obj_benchmark=3d
- 2D Multi-Object Tracking: http://www.cvlibs.net/datasets/kitti/eval_tracking.php
- 2D Multi-Object Tracking and Segmentation: http://www.cvlibs.net/datasets/kitti/eval_mots.php
- Pixel-level Semantic Segmentation: http://www.cvlibs.net/datasets/kitti/eval_semseg.php?benchmark=semantics2015
- Instance-level Semantic Segmentation: http://www.cvlibs.net/datasets/kitti/eval_instance_seg.php?benchmark=instanceSeg2015

[CityScapes](https://www.cityscapes-dataset.com/)
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- Pixel-level Semantic Segmentation
- Instance-level Semantic Segmentation 
- Panoptic Semantic Segmentation

[Waymo](https://waymo.com/open/)
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- 2D Object Detection
- 3D Object Detection
- 2D Multi-Object Tracking
- 3D Multi-Object Tracking

[Lyft Level 5](https://self-driving.lyft.com/level5/data/)
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- Perception Dataset: https://self-driving.lyft.com/level5/perception/
- Prediction Dataset: https://self-driving.lyft.com/level5/prediction/

[UCB BDD100K](https://bdd-data.berkeley.edu/)
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- 2D Object Detection
- Instance Segmentation
- Drivable Area
- Lane Marking

[ArgoVerse](https://www.argoverse.org/index.html)
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ArgoVerse v1.1
- 3D Multi-Object Tracking: [Training [Part1](https://s3.amazonaws.com/argoai-argoverse/tracking_train1_v1.1.tar.gz), [Part2](https://s3.amazonaws.com/argoai-argoverse/tracking_train2_v1.1.tar.gz), [Part3](https://s3.amazonaws.com/argoai-argoverse/tracking_train3_v1.1.tar.gz), [Part4](https://s3.amazonaws.com/argoai-argoverse/tracking_train4_v1.1.tar.gz)], [Validation](https://s3.amazonaws.com/argoai-argoverse/tracking_val_v1.1.tar.gz), [Test](https://s3.amazonaws.com/argoai-argoverse/tracking_test_v1.1.tar.gz)
- Motion Forecasting: [Training](https://s3.amazonaws.com/argoai-argoverse/forecasting_train_v1.1.tar.gz), [Validation](https://s3.amazonaws.com/argoai-argoverse/forecasting_val_v1.1.tar.gz), [Test](https://s3.amazonaws.com/argoai-argoverse/forecasting_test_v1.1.tar.gz)
- HD Map: https://s3.amazonaws.com/argoai-argoverse/hd_maps.tar.gz

[nuScenes](https://www.nuscenes.org/)
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- Full sensor suite for multimodality object detection, tracking, and prediction
- HD Map

Uber ATG4D
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Coming soon...
