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.
Not supported
This model is currently not supported on any Mobile chipset.
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View for other chipsetsTechnical 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
Supported Mobile Form Factors
- Phone
- Tablet
License
Model:MIT
Supported Mobile Devices
- 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 7 Gen 4 QRD
- Snapdragon 8 Elite Gen 5 QRD
- Xiaomi 12
- Xiaomi 12 Pro
Supported Mobile Chipsets
- Snapdragon® 7 Gen 4 Mobile
- 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
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