Powering the finest specialists in sports and fitness with the highest quality training data.

computer vision in sports

Use cases

computer vision in sports

Player tracking

Build real-time player tracking models with first-rate annotation tools, including bounding boxes, cuboids, polygons in both image and video.
computer vision in sports

Poses and actions

Using key points and polylines, identify diverse poses and actions of players to produce exceptional position and action tracking models.
computer vision in sports

Crowd monitoring

Create robust crowd management models to ensure safety during sports events and sustain audience loyalty.
computer vision in sports


Train your AI to understand the game rules and assist referees to make the decisions where human senses lack accuracy.
computer vision in sports

Ball tracking

Our prime annotation tools enable the creation of most precise real-time ball tracking models to resolve disputes that may occur during the match.  
computer vision in sports

Brand visibility

Analyze the time and duration of advertisements featured at sporting events to guide future ad purchases and drive product placement decisions.

SuperAnnotate for sports

Machine learning empowers coaches, referees, sport professionals and even sponsoring brands to achieve unparalleled control over the games and sporting events. However, training this kind of accurate and complex models require a robust data annotation workflow with quality management measures and smooth iteration cycles. SuperAnnotate is designed to feed quality data into AI models and get them into production up to 5x faster.

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