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Guidelines for the SoccerNet Re-Identification Challenge

The 2nd SoccerNet Person Re-Identification Challenge will be held from February to June 2023! Subscribe (watch) the repo to receive the latest info regarding timeline and prizes!

SoccerNet-v3 ReID is a large-scale dataset build upon SoccerNet that benchmarks the task of player re-identification across multiple camera views from broadcast soccer videos. SoccerNet-v3 is composed of 300k manual annotations, span 500 complete soccer games from six main European leagues, covering three seasons from 2014 to 2017 and a total duration of 764 hours.

We propose the SoccerNet-v3 ReID challenge to encourage the development of state-of-the-art ReID algorithm for sport player retrieval in broadcast videos.

We provide an evaluation server for anyone competing in the SoccerNet-v3 ReID challenge. This evaluation server handles predictions for the open test set and the segregated challenge set.

Winners will be announced during the CVSports workshop at CVPR in June 2023. Prizes 💲💲💲 include $500 cash award, sponsored by Synergy Sports, a SportRadar division.

Who can participate / How to participate?

  • Any individual can participate in the challenge, except the organizers.
  • The participants are recommended to form a team to participate.
  • Each team can have one or more members.
  • An individual/team can compete on both task.
  • An individual associated with multiple teams (for a given task) or a team with multiple accounts will be disqualified.
  • To solve the ReID task, a participant can only use player image crops and labels provided in the SoccerNet-v3 ReID dataset, which means using external information from other versions of the SoccerNet-v3 dataset is forbidden. Participants can therefore only rely on player appearance to solve the task.
  • Any information within image crops or sample labels can be used to solve the task: global body appearance, facial recognition, OCR for jersey numbers, ...
  • Participants can use any public dataset to pretrain their model. Any public dataset or codebase used for the challenge must be mentioned in the final report.
  • Participants are allowed to train their final model on all provided data (train + valid + test sets) before evaluating on the challenge set.
  • If you have any doubts regarding these rules, please contact the challenge administrators.

How to win / What is the prize?

  • The winner will the individual/team who reaches the highest mAP performance on the challenge set.
  • The deadline to submit your results is May 30th at 11.59 pm Pacific Time.
  • The teams that perform best in each task will be granted $500 from our sponsor Synergy Sports, a SportRadar division.
  • In order to be eligible for the prize, we require the individual/team to provide a short report describing the details of the methodology (CVPR format, max 3 pages)

Important dates

Note that these dates are tentative and subject to change if necessary.

  • February 6: Open evaluation server on the (Open) Test set.
  • February 6: Open evaluation server on the (Segregated) Challenge set.
  • May 30: Close evaluation server.
  • June 6: Deadline for submitting the report.
  • June TBD: A full-day workshop at CVPR 2022.

Contact

For any further doubt or concern, please raise a GitHub issue in this repository, or contact us directly on Discord.