Qualcomm® AI HubAI Hub

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 All Models chipset.

To see performance metrics for this model on other chipsets, click the button below.

View for other chipsets
Model RepositoryHugging FaceResearch Paper

Technical Details

Input resolution:224x224
Model checkpoint:SINet.pth
Model size (float):415 KB
Model size (w8a8):241 KB
Number of output classes:2 (foreground / background)
Number of parameters:91.9K

Applicable Scenarios

  • Background replacement
  • Face removal

Supported Form Factors

  • Phone
  • Tablet
  • IoT

License

Model:MIT

Supported Devices

  • Arduino VENTUNO Q
  • Dragonwing IQ-9075 EVK
  • Dragonwing IQ-X5121
  • Dragonwing IQ-X7181
  • Dragonwing Q-8750
  • QCS8550 (Proxy)
  • SA8295P ADP
  • 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 S26
  • Samsung Galaxy S26 Ultra
  • Samsung Galaxy S26+
  • Samsung Galaxy Tab S8
  • Snapdragon X Elite CRD
  • Snapdragon X Plus 8-Core CRD
  • Snapdragon X2 Elite CRD
  • Snapdragon XR2 Gen 2
  • Xiaomi 12

Supported Chipsets

  • Qualcomm® QCS5121
  • Qualcomm® Dragonwing™ IQ-X7181
  • Qualcomm® Dragonwing™ IQ-8275
  • Qualcomm® Dragonwing™ QCS8550 (Proxy)
  • Qualcomm® Dragonwing™ Q-8750
  • Qualcomm® Dragonwing™ IQ-9075
  • Qualcomm® SA8255P
  • Qualcomm® SA8295P
  • Qualcomm® SA8650P
  • Snapdragon® 8 Elite For Galaxy Mobile
  • Snapdragon® 8 Elite Gen 5 For Galaxy Mobile
  • Snapdragon® 8 Gen 1 Mobile
  • Snapdragon® 8 Gen 2 Mobile
  • Snapdragon® 8 Gen 3 Mobile
  • Snapdragon® 888 Mobile
  • Snapdragon® X Elite
  • Snapdragon® X Plus 8-Core
  • Snapdragon® X2 Elite

Related Models

See all models
View details for the FCN-ResNet50 model.

FCN-ResNet50

Fully-convolutional network model for image segmentation.

View details for the Unet-Segmentation model.

Unet-Segmentation

Real-time segmentation optimized for mobile and edge.

View details for the MediaPipe-Selfie-Segmentation model.

MediaPipe-Selfie-Segmentation

Segments the person from background in a selfie image and realtime background segmentation in video conferencing.

Sample Appsfeaturing SINet

See all sample apps
View details for the Portrait Segmentation app.

Portrait Segmentation

On-device portrait segmentation with TFLite

Looking for more? See models created by industry leaders.

Discover Model Makers