Golf swing analysis: Datasets & Models
Track a golfer's body and club positions frame-by-frame using keypoint detection to analyze swing mechanics. Turns ordinary video into measurable pose data for coaching and performance review.
Golf swing analysis
This workflow performs golf swing detection by processing video frames of a golfer and locating keypoints on the body and club, including shoulders, hips, elbows, wrists, knees, and the club head and grip. It takes swing footage as input and outputs pose data for each frame, so you can measure joint angles and club path across the full swing sequence.
Try it out
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Why automate golf swing analysis
Manually breaking down a golf swing means scrubbing video frame by frame, drawing lines by hand, and eyeballing hip rotation or wrist hinge, slow, inconsistent, and impossible to scale across many students or range sessions. In sports analytics, keypoint detection automates this by producing repeatable pose measurements every time, so a coach or app can flag an early hip slide, over-the-top move, or loss of spine angle instantly. It removes subjective guesswork and lets you compare a swing against prior sessions or a reference model objectively. Builders can layer analytics, feedback, and scoring on top of the raw keypoints rather than reinventing pose estimation.
Key benefits
You get consistent, numeric swing metrics from footage you already capture, with no extra sensors or wearables required. The workflow runs on standard cameras and phone video, making it straightforward to deploy across teaching studios, driving ranges, or a consumer coaching app. Because it outputs structured keypoint data, it scales from a single golfer to thousands of swings and integrates cleanly with existing analysis pipelines.
How to use it
- Upload an image: Drop any photo into the widget above to try golf swing analysis for free, right on this page.
- Preview instant results: The model detects golfer, golf club, club head, golf ball, golf tee within seconds and returns an annotated image with structured predictions, so you can immediately see how well it works. Adjust the detection classes and re-run until the results fit your scenario.
- Like what you see?: With a free Roboflow account, you can deploy this workflow with the Serverless Cloud API, customize it in your workspace, or train Keypoint detection on your own images for production accuracy.
- Get started for free: No code or training data required to begin: upload, review the results, and make it part of your stack in a single click.
Recommended model for golf swing analysis
When you're ready to build a production model for golf swing analysis, we recommend training Keypoint detection. Unlike the ready-to-use model in the demo above, you fine-tune it on your own labeled images for higher accuracy, then deploy to a Serverless Cloud API endpoint.
Not sure where to start?
Describe your Golf Swing Analysis project to Roboflow Agent.