Qualcomm® AI HubAI Hub

Segformer_Base

Real‑time object segmentation.

Segformer Base is a machine learning model that predicts masks and classes of objects in an image.

Model RepositoryHugging FaceResearch Paper

Technical Details

Model checkpoint:nvidia/segformer-b0-finetuned-ade-512-512
Input resolution:512x512
Number of parameters:3.7M
Model size:14.4 MB
Number of output classes:150

Applicable Scenarios

  • Factory Automation
  • Robotic Navigation
  • Camera

Licenses

Source Model:APACHE-2.0
Deployable Model:AI Model Hub License

Tags

  • real-time

Supported Automotive Devices

  • SA7255P ADP
  • SA8255 (Proxy)
  • SA8295P ADP
  • SA8650 (Proxy)
  • SA8775P ADP

Supported Automotive Chipsets

  • Qualcomm® SA7255P
  • Qualcomm® SA8255P (Proxy)
  • Qualcomm® SA8295P
  • Qualcomm® SA8650P (Proxy)
  • Qualcomm® SA8775P

Related Models

See all models
View details for the Unet-Segmentation model.

Unet-Segmentation

Real-time segmentation optimized for mobile and edge.

View details for the Segment-Anything-Model model.

Segment-Anything-Model

High-quality segmentation mask generation around any object in an image with simple input prompt.

View details for the FastSam-X model.

FastSam-X

Generate high quality segmentation mask on device.

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.

View details for the YOLOv8-Segmentation model.

YOLOv8-Segmentation

Real-time object segmentation optimized for mobile and edge by Ultralytics.

View details for the DDRNet23-Slim model.

DDRNet23-Slim

Segment images or video by class in real-time on device.

Looking for more? See models created by industry leaders.

Discover Model Makers