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.

1.17ms
Inference Time
0-24MB
Memory Usage
240NPU
Layers

Technical Details

Model checkpoint:SINet.pth
Input resolution:224x224
Number of parameters:91.9K
Model size:430 KB

Applicable Scenarios

  • Background replacement
  • Face removal

Supported Form Factors

  • Phone
  • Tablet
  • IoT

Licenses

Source Model:OTHER
Deployable Model:AI Model Hub License

Supported Devices

  • Google Pixel 3
  • Google Pixel 3a
  • Google Pixel 3a XL
  • Google Pixel 4
  • Google Pixel 4a
  • Google Pixel 5a 5G
  • QCS8550 (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® QCS8550
  • Snapdragon® 8 Gen 1 Mobile
  • Snapdragon® 8 Gen 2 Mobile
  • Snapdragon® 8 Gen 3 Mobile
  • Snapdragon® 888 Mobile
  • Snapdragon® X Elite