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MEDIAPIPE
On-device machine learning for everyone
Apache-2.0
ABOUT
Building real-time ML features like hand tracking, pose estimation, or object detection from scratch requires deep expertise in computer vision, model optimization for the target device, and platform-specific deployment code. Most teams have neither the time nor the specialized knowledge to train and ship custom vision models on mobile or web. MediaPipe solves this by providing production-ready, pre-trained models and cross-platform APIs that run entirely on-device — no cloud calls, no latency, no privacy concerns. Developers integrate a few lines of code and get real-time ML capabilities that work across Android, iOS, web, and Python with consistent APIs.
INSTALL
pip install mediapipe
npm install @mediapipe/tasks-vision
INTEGRATION GUIDE
1. Add real-time hand tracking to a web AR/VR application using the web API
2. Deploy on-device object detection on Android without network connectivity or cloud costs
3. Build a pose estimation app for fitness coaching that runs at 30 FPS on mobile devices
4. Integrate face landmark detection into a video conferencing app for virtual backgrounds
5. Classify text or audio on-device for privacy-sensitive applications like health monitoring
TAGS
computer-visionon-devicemobilewebmachine-learninggooglepose-estimationobject-detection