Bryson DeChambeau Uses Deep Learning to Map 30 Body Points Per Swing
Google Cloud's system applies deep learning algorithms and proprietary 2D and 3D models to track more than 30 key points on the body, club, and ball. The model also records swing phases such as top of swing, impact, follow-through, and finish. Bryson DeChambeau is testing the system to refine his motion data.
This approach shows how computer vision can turn raw video into measurable biomechanical data. Practitioners shift from subjective video review to quantitative metrics that guide precise adjustments. The workflow moves from guesswork to data-driven iteration.
Bryson DeChambeau and the Google Cloud team report measurable improvements in swing consistency by feeding 30-point skeletal data back into training sessions.
Step 1: Record your swing with any smartphone camera. Step 2: Upload the video to Google Cloud's Pose Estimation demo at cloud.google.com/vision and select the 2D or 3D model. Step 3: Review the 30-point output and note deviations at impact; adjust your stance and repeat the capture.