google-ai-edge/mediapipe-samples
Google's official example code collection for building on-device AI apps
This repository hosts Google's official MediaPipe samples showing the basic steps to build apps with their machine learning platform. It demonstrates features like face detection and hand tracking running directly on phones or in browsers. The maintainers focus on keeping existing examples simple rather than accepting new demo submissions.
What it does
- A collection of official example code for MediaPipe, Google's on-device machine learning platform
- MediaPipe Tasks offers low-code tools to build complete end-to-end ML pipelines, while MediaPipe Web Demos offers no-code tools to prototype solutions directly in a browser
- To keep the repo simple to maintain, new sample or demo pull requests are generally rejected, though fixes to existing code are welcome
- Contributors with more complex sample ideas are encouraged to host them in their own public repos and submit tutorials to Google's DevLibrary
- Written primarily in Jupyter Notebook, with 2795 stars
Why it matters
This gives developers ready-to-use, Google-vetted starting points for building AI features that run directly on devices without needing server infrastructure. It's especially useful for anyone building camera-based AI features like face, hand, or pose detection on mobile or web.
Terms in this repo
- On-device · Running AI computation directly on a phone or computer instead of a remote server
- MediaPipe Tasks · A low-code tool for building complete machine learning pipelines with minimal coding
- MediaPipe Web Demos · A no-code tool for prototyping AI solutions directly in a web browser
- Pull Request · A request to merge proposed code changes into the original repository
Repository description (English)
google-ai-edge/mediapipe-samples
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