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Replay of our 2022 live tutorial presenting our SoccerNet Challenges. In this last tutorial, Le Kang and Xin Zhou from Baidu Research present the player tracking challenge, including the data, the task, the metrics, the baselines, and discussions on the current results. 00:00 Introduction 04:37 Description of the task 06:12 Evaluation metrics 09:41 Dataset overview 18:33 Baselines: Deepsort 20:52 Baselines: FairMOT 22:31 Baselines: ByteTrack 25:47 Baselines: Results discussions 37:24 Conclusion To receive updates on the challenges, make sure to join our SoccerNet community on Discord: / discord (If the first link does not work, please use: / discord ) Thanks to Synergy Sports, a SportRadar division for sponsoring this challenge: https://synergysports.com/ Link to our website: https://www.soccer-net.org Link to our new tracking paper: https://arxiv.org/abs/2204.06918 Code and pip package to get started with the dataset and the challenges: https://github.com/SoccerNet https://github.com/SoccerNet/sn-tracking https://pypi.org/project/SoccerNet/ Don’t hesitate to contact us if you have any questions about 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: / anthony_cioppa / adriendeliege / giancolasilvio Music credits ------- Juno in The Space Maze - Loopop Classic - Joakim Karud ------- Presentation written by Le Kang and Xin Zhou. Video produced and edited by Anthony Cioppa and Silvio Giancola.