Golf swing analysis now runs on deep learning that counts 30 body markers in one frame
Bryson DeChambeau feeds video into Google Cloud deep learning models. The models track over 30 keypoints on the body, club, and ball while labeling top of swing, impact, follow-through, and finish. Outcome data for each shot is recorded automatically.
Athletes move from subjective video review to quantitative joint and club metrics. Training plans shift from guesswork to data-backed adjustments after every session. The workflow replaces manual tagging with automated labeling that updates after each swing.
Bryson DeChambeau runs these models on Google Cloud during practice rounds and reports measurable swing consistency gains within weeks.
Step 1: Upload swing footage to Google Cloud Video AI at https://cloud.google.com/video-intelligence. Step 2: Enable the Pose Detection feature to extract the 30 keypoints and swing phases. Step 3: Export the labeled JSON and import it into your training log to compare joint angles across sessions.