Sports Analytics
Sports Case Study
Image and video annotation for Sports applications is about analyzing the posture of the players and the trajectory of several objects (other players, ball, etc.). We have worked in both amateur and professional sports – which could not be handled in the same way: amateur sports imply many ‘unconventional’ postures that you would not find in professional sports, while trajectories analysis is crucial in pro sports to understand and counter the opposing team’s strategy.
The mission
Skillcorner develops analytics models for football clubs such as FC Liverpool. They needed to outperform their detection models for various types of objects and required high annotation volumes on football game videos.
The outcome
Ingedata assigned a team of annotators with football knowledge to this project. They used Landmark Positioning and object recognition to track the movements of the players, the referees, and the ball. Annotators were also required to recognize specific players from jersey number and face recognition.
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