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.
SC8380
推理时间： 925 μs
内存占用： 1 MB
NPU使用： 195 NPU
Input resolution:256x256
Number of parameters (MediaPipeHandDetector):1.76M
Model size (MediaPipeHandDetector):6.76 MB
Number of parameters (MediaPipeHandLandmarkDetector):2.01M
Model size (MediaPipeHandLandmarkDetector):7.71 MB
Gesture Control
Virtual Reality
Gaming
SC8380
Source Model: APACHE-2.0
Deployable Model: AI Model Hub License