Pose Match is an interactive experience that matches your body pose to artworks from museum collections. Strike a pose in front of your webcam and discover artworks that share your stance.
This project uses machine learning (MoveNet) to detect body poses in real-time and compares them against a database of pre-analyzed artwork images.
1. Stand in front of your webcam
2. The system detects your pose
3. Your pose is matched to artworks with similar poses
4. Scan the QR code or click the image to learn more about the artwork
Artwork images courtesy of The Metropolitan Museum of Art Open Access collection.
Built with ml5.js, p5.js, and TensorFlow.