AI Football Player Tracking Model

About the role

Contract to build a computer-vision model that tracks one football player in broadcast video and writes performance metrics to JSON. The web app and report design are out of scope.

What you'll do

• Train or fine-tune a YOLO player-detection model on football broadcast footage.
• Track one selected player with ByteTrack, including lock-on and ID-switch handling.
• Run a fast preview for player selection, then a full GPU analysis.
• Calibrate the pitch and extract distance, speed, sprints, activity, heatmap, and zone occupancy.
• Return structured JSON and a serverless GPU inference pipeline.

Requirements

• Can train and fine-tune a YOLO detection model.
• Can implement multi-object tracking with ByteTrack and single-player lock-on.
• Can calibrate a pitch from video into real-world positions.
• Can ship a tested serverless GPU inference pipeline.
• Scope is the model and analysis pipeline only, not the web platform or report design.

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