Industries - Sports | SuperAnnotate

Use cases

Player tracking

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

Poses and actions

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

Crowd monitoring

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

Refereeing

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

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.

Brand visibility

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

Computer vision applications in sports

Technological advancements in today's sport have made massive headway over the last decade. In 2022, real-time football analytics and sensor-equipped F1 cars are no longer faraway dreams—they are a reality. And the progress goes much beyond this: Tech giants have already employed artificial intelligence and computer vision in sports to address existing challenges.
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Read more to understand how computer vision gives the sense of sight to the most complicated sports applications, driving the industry forward.

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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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Sports

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