Tsinghua University & ECCV ¥ 35,000 129 Team164 participants
GigaVision Challenge 2020: Task 2
2020-03-20 - Launch
2020-07-31 - Team Merger Deadline
2020-08-15 - Close
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Evaluation

Task 1: Pedestrian and Vehicle Detection

Similar to the evaluation method used in MS COCO[1], we use AP, AP_{IOU = 0.50}, AP_{IOU = 0.75}, AR_{max = 10}, AR_{max = 100}, AR_{max = 500} and other indicators to evaluate the results of the detection algorithm.
 

Task 2: Multi-target tracking

Similar to the evaluation method used in MOTChallenge[2], we use MOTA, MOTP, IDF1, FAR, MT, and Hz to evaluate the results of the multi-object tracking algorithm.

 

Reference

[1] T. Lin, M. Maire, S. J. Belongie, J. Hays, P. Perona, D. Ramanan, P. Dollar, and C. L. Zitnick, “Microsoft COCO: common objects in context,” in Proceedings of European Conference on Computer Vision, 2014, pp. 740–755
 
[2] Milan A, Leal-Taixé L, Reid I, et al. MOT16: A benchmark for multi-object tracking[J]. arXiv preprint arXiv:1603.00831, 2016.

GigaVision Challenge 2020: Task 2

¥ 35,000

164 participants

start

Final Submissions

2020-03-20

2020-08-15