MediaPipe-Hand-Detection

简介

Real‑time hand detection optimized for mobile and edge.
The MediaPipe Hand Landmark Detector is a machine learning pipeline that predicts bounding boxes and pose skeletons of hands in an image.

效果视频

规格与下载

技术细节

Input resolution:256x256
Number of parameters (HandDetector):1.76M
Model size (HandDetector) (float):6.75 MB
Number of parameters (HandLandmarkDetector):2.01M
Model size (HandLandmarkDetector) (float):7.70 MB

应用领域

Gesture Control
Virtual Reality
Gaming

授权信息

Source Model: APACHE-2.0
Deployable Model: AI-HUB-MODELS-LICENSE