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.
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:OTHER
Deployable Model:AI Model Hub License
Supported IoT Devices
- QCS8550 (Proxy)
Supported IoT Chipsets
- Qualcomm® QCS8550