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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.

Model RepositoryHugging FaceResearch Paper

Technical Details

Model checkpoint:SINet.pth
Input resolution:224x224
Number of parameters:91.9K
Model size:430 KB
Number of output classes:2 (foreground / background)

Applicable Scenarios

  • Background replacement
  • Face removal

Licenses

Source Model:MIT
Deployable Model:AI-HUB-MODELS-LICENSE

Supported IoT Devices

  • QCS6490 (Proxy)
  • QCS8275 (Proxy)
  • QCS8550 (Proxy)
  • QCS9075 (Proxy)
  • RB3 Gen 2 (Proxy)

Supported IoT Chipsets

  • Qualcomm® QCS6490 (Proxy)
  • Qualcomm® QCS8275 (Proxy)
  • Qualcomm® QCS8550 (Proxy)
  • Qualcomm® QCS9075 (Proxy)

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