Golf swing data at 30 body points: Bryson DeChambeau trains with Google Cloud vision models
The system runs deep learning models on 2D and 3D video. It tracks over 30 keypoints on body, club, and ball during top of swing, impact, follow-through, and finish. Shot outcome data is recorded for later analysis.
Athletes move from subjective coaching cues to quantified movement metrics. Training decisions shift from feel-based adjustments to data-driven corrections that repeat across sessions.
Bryson DeChambeau partnered with Google Cloud to test the models on his own swing data and reported measurable consistency gains during practice rounds.
Step 1: Open Google Cloud Vision API documentation at https://cloud.google.com/vision and enable the Pose Detection endpoint. Step 2: Upload a 2D or 3D swing video and request keypoint extraction for at least 30 body and equipment landmarks. Step 3: Export the JSON output and import the coordinates into a spreadsheet or notebook to compare swing phases across multiple takes.