Football & Fitness Video Analytics Pipeline
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About this role
Python, Data Processing, Machine Learning (ML), Data Visualization, Data Analysis, Computer Vision, Deep Learning, YOLO · I have hours of CCTV footage from 5-a-side and 7-a-side turf matches and I want an end-to-end computer-vision pipeline that turns every recording into clear, per-player metrics.
The system must treat fitness and football performance with equal weight. For fitness I care most about minutes played, distance covered and calories burned; for football performance the priorities are goals and shots. Anything else you can derive is welcome, but these numbers must be rock-solid.
What I expect you to build • A repeatable pipeline that ingests raw CCTV video, detects and re-identifies each player, tracks their movement through the entire match and exports a CSV/JSON report plus simple visual overlays. • Fitness layer: automatic calculation of minutes on pitch, total distance, speed profile and calorie estimate per player. • Football layer: automatic event detection for goals and shots, linked back to the responsible player and time-stamped in the report. • A brief README that explains model choices, how to run the code locally (Python preferred), and how to retrain if the camera angle or lighting changes.
Acceptance criteria • Works on at least two full, uncut sample matches I w