Soccer Video Understanding Benchmark Suite
What is SoccerNet?
SoccerNet is a large-scale dataset for soccer video understanding. It has evolved over the years to include various tasks such as action spotting, camera calibration, player re-identification and tracking. It is composed of 550 complete broadcast soccer games and 12 single camera games taken from the major European leagues. SoccerNet is not only dataset, but also yearly challenges where the best teams compete at the international level. Join the SoccerNet community on Discord to discover how SoccerNet can further push your own research and industry.
[2023-06] SoccerNet 2023 Results are out, check out the Task pages!
[2023-06] We are presenting 3 papers published at CVSports!
[2023-05] Our SoccerNet story is featured on this great KAUST Insights News Article.
[2023-02] Anthony gave an overview of SoccerNet at the Bahrain Sports Summit.
[2023-02] Announcing the SoccerNet Challenge 2023, featured at CVPR'23! We have introduced 7 challenges including Dense Video Captioning, Ball Action Spotting, Action Spotting, Camera Calibration, Tracking, ReID and Jersey Number Recognition! Join our Discord Channel for more information.
[2022-10] The results of the SoccerNet 2022 Challenge were presented at the ACM Workshop on Multimedia Content Analysis in Sports.
[2022-10] The latest SoccerNet activities in Action Spotting were highlighted during the FIFA Research Symposium 2022.
[2022-08] Our SoccerNet 2022 Challenge results paper is available here.
[2022-08] The leaderboards for the SoccerNet 2022 Challenge are available on the task pages!
[2022-06] SoccerNet challenge results were announced during the ActivityNet and CVSports workshop at CVPR. Leaderboards and recordings coming soon!
[2022-05] Replay of the first tutorial available on YouTube: https://youtu.be/JtoziK5H-pw
[2022-04] Live tutorials on Zoom (https://kaust.zoom.us/j/99247680793) the 27 and 28 of April 2022 from 4pm to 7pm CEST.
[2022-01] Announcing the SoccerNet Challenge 2022, featured at CVPR'22! We have introduced 4 challenges including Calibration, Tracking, ReID and Spotting! Join our Discord Channel for more information.
[2021-06] The SoccerNet-v2 paper won the Best Paper Award at CVSports during CVPR2021! More info on Twitter.
[2021-03] The SoccerNet Challenge is up and running! We will be hosting the SoccerNet Challenge in the CVPR'21 International Challenge on Activity Recognition Workshop. Participate and win up to 1000 USD from our sponsor Second Spectrum!
[2021-01] Welcome to our new Google Site!
[2020-06] Presentation of Context-Aware Loss Function (CALF) for Action Spotting during CVPR'20.
[2018-06] Official release of SoccerNet with 500 games for Action Spotting during CVSports'18.
SoccerNet at a glance
550 Broadcast Games
12 Single Camera Games
> 5M Feature Frames
> 300k Temporal Annotations
> 1M Spatial Annotations
6 Challenging Task
Latest YouTube Videos
Be the Champion of Soccer AI: Join the SoccerNet 2023 Challenges Now!
Join the SoccerNet community and take part in the 2023 challenges in soccer video analysis. Be part of the research community pushing the boundaries of broadcast, field, and player understanding. With new tasks and challenges, including fine-grained action spotting, dense video captioning, and jersey number recognition, there's a challenge for everyone. With prizes for each challenge and a chance to be recognized at CVPR, start your journey now and help shape the future of soccer video analysis. Join our Discord community, follow us on social media, and be sure to leave a like and subscribe to our channel for updates. Let's get started!
Soccer Player Tracking, Re-ID, Camera Calibration and Action Spotting - SoccerNet Challenges 2022
In this video, we present our new SoccerNet Challenges for CVPR 2022! We introduce the three tasks of Calibration, Re-identification and Tracking on soccer games, in partnership with EVS Broadcast Equipment, SportRadar and Baidu Research. We also reiterate our previous Action Spotting and Replay Grounding Challenges at the ActivityNet workshop. Good luck fighting for the throne!