A tennis vision model tracks shot speed and body position from iPhone video
Montreal builder AA used Roboflow's agent tooling to label and fine-tune the model, while the coaching layer remains unfinished.
By Ryan Merket · Published
Primary source: X
Why it matters
Agent-connected vision tools are shrinking the work required to train specialized models from personal video. The remaining challenge is converting reliable tracking into useful, validated advice.
Alan, a Montreal-based builder who publishes as AA (@measure_plan), built a computer vision pipeline that turns iPhone footage of a tennis practice session into measurements of ball speed, stroke type, shot placement and body position at contact.
https://x.com/measure_plan/status/2097715692069859769
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