Golf Swing Analysis with Vision AI

Advancements in golf technology have not significantly improved male golfers' handicap indexes, prompting the exploration of actionable feedback through AI-driven analysis. A detailed tutorial outlines how to create a golf swing analysis system using Roboflow 3.0 for keypoint detection and Gemini 2.5 Flash for biomechanical reasoning. By analyzing a golf swing photo, this system provides annotated frames with AI-generated coaching commentary on body alignment, club position, and swing phase. The process involves training a model on a dataset of 68 annotated images, achieving high precision and recall metrics, and deploying a workflow that integrates keypoint detection with visualization and language understanding. The method facilitates the identification of swing mechanics and offers potential for further customization and analysis, demonstrating a practical application of computer vision in sports coaching.