MediaPipe-Hand-Detection

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.

Not supported

This model is currently not supported on any All Models chipset.

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Technical Details

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

Applicable Scenarios

  • Gesture Control
  • Virtual Reality
  • Gaming

Supported Form Factors

  • Phone
  • Tablet
  • IoT

License

Tags

  • real-time

Supported Devices

  • Dragonwing IQ-9075 EVK
  • Dragonwing IQ-X5121
  • Dragonwing IQ-X7181
  • Dragonwing Q-8750
  • QCS8275 (Proxy)
  • QCS8450 (Proxy)
  • QCS8550 (Proxy)
  • SA7255P ADP
  • SA8255P ADP
  • SA8295P ADP
  • SA8650P ADP
  • SA8775P ADP
  • Samsung Galaxy S21
  • Samsung Galaxy S21 Ultra
  • Samsung Galaxy S22 5G
  • Samsung Galaxy S22 Ultra 5G
  • Samsung Galaxy S22+ 5G
  • Samsung Galaxy S23
  • Samsung Galaxy S23 Ultra
  • Samsung Galaxy S23+
  • Samsung Galaxy S24
  • Samsung Galaxy S24 Ultra
  • Samsung Galaxy S24+
  • Samsung Galaxy S25
  • Samsung Galaxy S25 Ultra
  • Samsung Galaxy S25+
  • Samsung Galaxy Tab S8
  • Snapdragon 8 Elite Gen 5 QRD
  • Snapdragon X Elite CRD
  • Snapdragon X Plus 8-Core CRD
  • Snapdragon X2 Elite CRD
  • Xiaomi 12
  • Xiaomi 12 Pro
  • XR2 Gen 2 (Proxy)

Supported Chipsets

  • Qualcomm® QCS8275 (Proxy)
  • Qualcomm® QCS8550 (Proxy)
  • Qualcomm® QCS9075
  • Qualcomm® SA7255P
  • Qualcomm® SA8295P
  • Qualcomm® SA8775P
  • Snapdragon® 8 Elite Mobile
  • Snapdragon® 8 Elite Gen 5 Mobile
  • Snapdragon® 8 Gen 1 Mobile
  • Snapdragon® 8 Gen 2 Mobile
  • Snapdragon® 8 Gen 3 Mobile
  • Snapdragon® 888 Mobile
  • Snapdragon® X Elite
  • Snapdragon® X Plus 8-Core
  • Snapdragon® X2 Elite

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