Bryson DeChambeau Turns Golf Swing Data into Deep Learning Models
What happened
DeChambeau uses Google Cloud deep learning to track more than 30 body, club, and ball keypoints in both 2D and 3D. The system labels every phase of the swing from address through finish and records the resulting ball flight. All data feeds back into iterative model training.
Why it matters
Athletes can replace subjective feel with quantitative kinematic benchmarks. Workflows shift from video review to continuous model retraining loops that surface micro-adjustments in milliseconds.
Who's doing it
Bryson DeChambeau and the Google Cloud sports performance team report measurable gains in swing repeatability after feeding 3D pose estimates back into practice routines.
Try it
- Open Google Cloud Vertex AI and upload swing footage to a new Pose Estimation dataset.
- Train a custom 2D-3D keypoint model using the 30-point skeleton template.
- Export inference results to BigQuery and plot joint angles across frames at https://console.cloud.google.com/vertex-ai.
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 So He Can Swing Better. Who Gave Them Permission To Turn Golf Into A Data Heist?!
The Anchor what could go wrong
BREAKING: GOLFERS ARE ALREADY REPLACED... DEEP LEARNING IS NOW SWINGING THE CLUBS
The Boss hype translator
Bryson DeChambeau Is Already Swinging With AI. Why Aren't We?
The Yinzer BS detector
Bryson DeChambeau Using Google Cloud AI to Track 30 Body Points on Every Swing