SoccerNet-v2

Videos

A novel large-scale corpus of manual annotations for the SoccerNet video dataset, along with open challenges to encourage more research in soccer understanding and broadcast production.

Source: SoccerNet-v2 : A Dataset and Benchmarks for Holistic Understanding of Broadcast Soccer Videos

Benchmarks

2D Semantic Segmentation/mIoU Object Tracking/HOTA Person Re-Identification/Rank-1 Person Re-Identification/mAP Scene Parsing/mIoU Scene Understanding/mIoU Video/Average-AP Video/HOTA Video/Tight Average-mAP Video/Average-mAP Video Retrieval/Average-AP Video Segmentation/mAP Video Semantic Segmentation/mIoU