Development Kit for the SoccerNet Challenge. This kit is meant as a help to get started working with data see https://soccer-net.org/
SoccerNet-v2 is an extension of SoccerNet-v1 with new and challenging tasks including action spotting, camera shot segmentation with boundary detection, and a novel replay grounding task. The dataset consists of 500 soccer games including:
- Videos in both low and high resolution.
- Pre-computed features.
- Annotations of actions (Labels-v2.json).
- Annotations of camera replays linked to actions (Labels-cameras.json).
- Annotations of camera changes (Labels-cameras.json) (200 games).
How to download SoccerNet-v2 [Link]
How to extract video features [Link]
Evaluation [Link]
- Annotation tool [Link]
For further information check out the paper and supplementary material: https://arxiv.org/abs/2011.13367
Please cite our work if you use our dataset:
@misc{deliège2020soccernetv2,
title={SoccerNet-v2 : A Dataset and Benchmarks for Holistic Understanding of Broadcast Soccer Videos},
author={Adrien Deliège and Anthony Cioppa and Silvio Giancola and Meisam J. Seikavandi and Jacob V. Dueholm and Kamal Nasrollahi and Bernard Ghanem and Thomas B. Moeslund and Marc Van Droogenbroeck},
year={2020},
eprint={2011.13367},
archivePrefix={arXiv},
primaryClass={cs.CV}
}