Objects Track Benchmarks

傷城~ 2022-08-30 11:46 170阅读 0赞

# MOT #

## 2D MOT ##

*  [MOT challenge][]
 *  [TAO][]
 *  Caltech Roadside Pedestrians
 *  [BDD100K][]
 *  [Waymo][]
 *  [AOT][]
 *  [PANDA][]
 *  [ArgoVerse][]
 *  [HiEve Multi-person Motion Tracking][]
 *  [UA-DETRAC][]
 *  [VisDrone][]
 *  [PathTrack][]

## 3D MOT ##

*  [nuScenes][]
 *  [KITTI MOT][]

# PoseTrack #

*  [PoseTrack][]
 *  [HiEve Crowd Pose Tracking][HiEve Multi-person Motion Tracking]

# MOTS #

*  [MOT challenge MOTS][]
 *  [KITTI MOTS][]

# MTMC #

*  [AICity challenge][]
 *  Duke-MTMC
 *  [LIMA][]

# SOT #

*  [OxUva][]
 *  [GOT-10k][]
 *  [OBT][]
 *  [VOT][]
 *  [TrackingNet][]
 *  [YT-BB][]
 *  [TLP][]

[MOT challenge]: https://motchallenge.net/
[TAO]: https://motchallenge.net/data/TAO_Challenge/
[BDD100K]: https://doc.bdd100k.com/download.html#mot-2020-labels
[Waymo]: https://waymo.com/open
[AOT]: https://www.aicrowd.com/challenges/airborne-object-tracking-challenge
[PANDA]: http://www.panda-dataset.com/Task2_intro_eval.html
[ArgoVerse]: https://www.argoverse.org/data.html
[HiEve Multi-person Motion Tracking]: http://humaninevents.org/
[UA-DETRAC]: https://detrac-db.rit.albany.edu/Tracking
[VisDrone]: http://aiskyeye.com/download/multi-object-tracking_2021/
[PathTrack]: https://www.trace.ethz.ch/publications/2017/pathtrack/index.html
[nuScenes]: https://www.nuscenes.org/tracking?externalData=all&mapData=all&modalities=Any
[KITTI MOT]: http://www.cvlibs.net/datasets/kitti/eval_tracking.php
[PoseTrack]: https://posetrack.net/
[MOT challenge MOTS]: https://motchallenge.net/data/MOTS/
[KITTI MOTS]: http://www.cvlibs.net/datasets/kitti/eval_mots.php
[AICity challenge]: https://www.aicitychallenge.org/
[LIMA]: https://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Layne_A_Dataset_for_CVPR_2017_paper.pdf
[OxUva]: https://oxuva.github.io/long-term-tracking-benchmark/
[GOT-10k]: http://got-10k.aitestunion.com/
[OBT]: http://cvlab.hanyang.ac.kr/tracker_benchmark/
[VOT]: https://www.votchallenge.net/vot2017/dataset.html
[TrackingNet]: https://tracking-net.org/
[YT-BB]: https://research.google.com/youtube-bb/
[TLP]: https://amoudgl.github.io/tlp/