Open-source project tracks soccer players and estimates speed with YOLO

An open-source computer vision project that uses YOLO to detect and track soccer players, referees and the ball, and to estimate each player's running speed and distance in real-world meters, is drawing renewed attention across the AI and developer community. The focus is Abdullah Tarek's football_analysis repository, which provides a comprehensive pipeline that derives player positions, team assignment, ball possession and movement speed from a single piece of footage.