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 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
Background replacement
Face removal
Source Model: MIT
Deployable Model: AI-HUB-MODELS-LICENSE