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Posenet-Mobilenet-Quantized

Quantized human pose estimator.

Posenet performs pose estimation on human images.

Model RepositoryHugging FaceResearch Paper

Technical Details

Model checkpoint:mobilenet_v1_101
Input resolution:513x257
Number of parameters:3.31M
Model size:3.47 MB

Applicable Scenarios

  • Injury prevention training
  • Sports performance analysis
  • Posture recognition

Supported Form Factors

  • Phone
  • Tablet
  • IoT

Licenses

Source Model:APACHE-2.0
Deployable Model:AI Model Hub License

Tags

  • quantized
    A “quantized” model can run in low or mixed precision, which can substantially reduce inference latency.

Supported Devices

  • Google Pixel 3
  • Google Pixel 3a
  • Google Pixel 3a XL
  • Google Pixel 4
  • Google Pixel 4a
  • Google Pixel 5a 5G
  • QCS8250 (Proxy)
  • QCS8550 (Proxy)
  • RB5 (Proxy)
  • SA8255 (Proxy)
  • SA8650 (Proxy)
  • SA8775 (Proxy)
  • Samsung Galaxy S21
  • Samsung Galaxy S21 Ultra
  • Samsung Galaxy S21+
  • 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 Tab S8
  • Xiaomi 12
  • Xiaomi 12 Pro

Supported Chipsets

  • Qualcomm® QCS8250
  • Qualcomm® QCS8550
  • Qualcomm® SA8255P
  • Qualcomm® SA8650P
  • Qualcomm® SA8775P
  • Snapdragon® 8 Gen 1 Mobile
  • Snapdragon® 8 Gen 2 Mobile
  • Snapdragon® 8 Gen 3 Mobile
  • Snapdragon® 888 Mobile
  • Snapdragon® X Elite