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SINet

Lightweight portrait segmentation for background removal.

SINet is a machine learning model that is designed to segment people from close‑up portrait images in real time.

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This model is currently not supported on any Automotive chipset.

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Model RepositoryHugging FaceResearch Paper

Technical Details

Model checkpoint:SINet.pth
Input resolution:224x224
Number of output classes:2 (foreground / background)
Number of parameters:91.9K
Model size (float):415 KB
Model size (w8a8):241 KB

Applicable Scenarios

  • Background replacement
  • Face removal

License

Model:MIT

Supported Automotive Devices

  • SA7255P ADP
  • SA8255P ADP
  • SA8295P ADP
  • SA8650P ADP
  • SA8775P ADP

Supported Automotive Chipsets

  • Qualcomm® SA7255P
  • Qualcomm® SA8295P
  • Qualcomm® SA8775P

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