Bryson DeChambeau Uses Deep Learning to Track 30 Body Points for Shot Analysis
What happened
Bryson DeChambeau partnered with Google Cloud to build an AI system that uses deep learning algorithms and proprietary 2D and 3D models. The system tracks more than 30 key points on the body, club, and ball during the swing. It also records shot outcomes including top of swing, impact, follow-through, and finish.
Why it matters
This shows how computer vision can turn physical motion into measurable data points. Readers learn that AI can replace guesswork in training with precise kinematic feedback. The result is a shift from subjective coaching to evidence-based performance adjustments.
Who's doing it
Bryson DeChambeau and Google Cloud implemented this system. DeChambeau has used the data to refine his swing mechanics and improve consistency across practice sessions.
Try it
- Visit cloud.google.com and open Vertex AI to upload swing video footage.
- Configure a pose estimation model to detect 30 keypoints on the golfer, club, and ball.
- Run inference to generate frame-by-frame analysis of swing phases and review the output metrics for adjustments.
Read the original at cloud.google.com
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Karen what's the catch
EXCUSE ME?! Bryson DeChambeau Is Letting Google Track 30 Body Points Just to Hit a Ball Better
The Anchor what could go wrong
BREAKING: GOOGLE CLOUD AI NOW FILMING EVERY GOLF SWING TO REPLACE HUMAN COACHES FOREVER
The Boss hype translator
Bryson DeChambeau Is Using Google Cloud AI to Track 30 Body Points Per Swing
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Bryson DeChambeau's AI Swing Analyzer: 30 Body Points, One Swing at a Time