Bryson DeChambeau Turns Swing Data into Machine Learning Feedback Loops
Google Cloud's system uses deep learning with proprietary 2D and 3D models to track over 30 body, club, and ball keypoints. It records swing phases including top of swing, impact, follow-through, and finish, then logs shot outcomes for pattern analysis.
Athletes learn to treat motion capture as structured training data rather than video review. This shifts practice from subjective feel to measurable, repeatable metrics that models can optimize over time.
Bryson DeChambeau partnered with Google Cloud to run swing experiments that quantify launch conditions and body mechanics at every phase of the golf swing.
Step 1: Open Google Cloud Video AI at https://cloud.google.com/video-intelligence. Step 2: Upload swing footage and enable pose estimation to extract 30-plus keypoints per frame. Step 3: Export the keypoint time series into BigQuery so you can run regression models that flag swing deviations before the next range session.