The Challenge Awakens: SoccerNet 2025! скачать в хорошем качестве

The Challenge Awakens: SoccerNet 2025!

Join the SoccerNet community and take part in the 2025 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 multi-view foul recognition, game state reconstruction, team ball action spotting, and monocular depth estimation, 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! 00:00​​ Introduction 01:34 Multi-view Foul Recognition challenge 03:06 Game State Reconstruction challenge 05:33 Team Ball Action Spotting challenge 08:03 Monocular Depth Estimation challenge 09:32 Conclusion Make sure to join our SoccerNet community on Discord:   / discord   Link to our website: https://www.soccer-net.org Multi-view Foul Recognition Challenge Link to the repository: https://github.com/SoccerNet/sn-mvfoul Link to the VARS paper: https://openaccess.thecvf.com/content... Sponsor: TBD Prize: TBD Venue: CVsports workshop at CVPR Game state reconstruction Challenge Link to the repository: https://github.com/SoccerNet/sn-games... Sponsor: TBD Prize: TBD Venue: CVSports workshop at CVPR Team Ball Action Spotting Challenge Link to the repository: https://github.com/SoccerNet/sn-teams... Sponsor: TBD Prizes: TBD Venue: CVsports workshop at CVPR Monocular Depth Estimation Challenge Link to the repository: https://github.com/SoccerNet/sn-depth Sponsor: TBD Prizes: TBD Venue: CVsports workshop at CVPR Big thanks to Footovision (https://www.footovision.com/) for providing the Ball Action Spotting data and annotations and to Baidu Research for their original contribution to the SoccerNet Tracking dataset at the core of the Game State task! Pip package to get started with the dataset and the challenge: https://pypi.org/project/SoccerNet/​​​ Previous tutorials to get you started • Tutorial #1    • Tutorial #1 Introduction to the 2022 Socce...   • Tutorial #2    • Tutorial #2 Action Spotting & Replay Groun...   • Tutorial #3    • Tutorial #3 Camera Calibration - 2022 Socc...   • Tutorial #4    • Tutorial #4 Player Re-Identification - 202...   • Tutorial #5    • Tutorial #5 Player Tracking - 2022 SoccerN...   • Tutorial #6    • SoccerNet 2023 Live Tutorials - ft. Vladim...   • Tutorial #7    • SoccerNet 2024 Live Tutorials - ft. Vladim...   Don’t hesitate to contact us if you have any questions about the papers, the challenges or the code! To see more of our work, subscribe to our YouTube channel and other social media! We’ll keep posting our work regularly. Subscribe to Acad Research:    / acadresearch   Twitter:   / soccernet_org     / anthony_cioppa     / adriendeliege     / giancolasilvio     / baiduresearch     / _cvsports   Other social media:   / vladimirsomers   Video Credits ------- Background videos from Videezy.com and Pexels VAR Room - AFP Music credits ------- Juno in The Space Maze - Loopop Stranger - VYEN Moons - Patrick Patrikios Copycat - R.LUM.R Missive - Andrew Langdon Demon - JVNA Classic - Joakim Karud ------- Many thanks to the University of Liège, KAUST, UCLouvain, EPFL, Aalborg University, Footovision, TRAIL, FNRS, Sportradar, Baidu Research, NASK Science, UPC, University of Barcelone, and EVS Broadcast Equipment. Written and Presented by Anthony Cioppa - ULiège Jan Held - ULiège & KAUST Arnaud Leduc - ULiège Silvio Giancola - KAUST Vladimir Somers - UCLouvain, EPFL, and Sportradar Victor Joos de ter Beerst - UCLouvain Seyed Abolfazl Ghasemzadeh - UCLouvain Marc Gutiérrez - UPC Artur Xarles - University of Barcelona Produced and Edited by Anthony Cioppa.