#14 · Primary category: Computer Vision
mediapipe
Cross-platform, customizable ML solutions for live and streaming media.
Project last updated:08/29/26
GitHub Stars
36.8K
Forks
6.1K
Contributors
114
License
Apache-2.0
Why we included this project
MediaPipe is the toolkit most teams reach for when they need camera-based perception on phones, browsers, or edge hardware. It ships ready-to-run solutions for hand and pose tracking, face landmarks, object detection, and segmentation behind small cross-platform APIs for Android, iOS, web, and Python. Below those high-level tasks sits a graph framework where you wire calculators into custom pipelines, so you can start from a working solution and swap in models trained on your own data. Because inference runs on the device, frames never leave it, which matters for latency-sensitive and privacy-conscious applications. Whether you want a quick gesture recognizer in a mobile app or a fully custom streaming pipeline for a desktop or IoT product, it is a practical fit.
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