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AI & Model

MediaPipe Hand Landmarker

ModelPose EstimationBrowser

A ready-to-use model bundle from Google's MediaPipe family for tracking hands in real time. It works in two stages: a palm detection model locates the hand region, then a landmark model extracts 21 joint points per hand within it. It can track two hands at once. Since it runs on WebGL or WASM in the browser, it needs no server and works directly on the user's device.

General Properties

Architecture / Approach
Two-stage: palm detection + 21-point hand landmark model
Trained On
~30K real images + synthetic hand models
Model Size
~7.8 MB
Input Resolution
192×192 (palm) + 224×224 (landmark)
License
Apache-2.0
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Frequently Asked Questions

It powers the projects on the platform that need hand tracking: it detects hands and finger joints in the camera feed in real time, forming the basis of gesture-controlled experiences.

It runs on the GPU via WebGL, falling back to WASM on the CPU when WebGL is unavailable. Either way, your footage never leaves your device.

Apache-2.0. The model file and runtime are free to use.