Player tracking
Build real-time player tracking models with first-rate annotation tools, including bounding boxes, cuboids, polygons in both image and video.
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Sports
Powering the finest specialists in sports and fitness with the highest quality training data.
Use cases
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
Sports technology has advanced rapidly over the past decade. Real-time football analytics, sensor-equipped F1 cars, AI, and computer vision are now part of how teams analyze performance and solve complex challenges. This article explores how computer vision is helping sports technology move forward.
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.