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YOLOv8-Segmentation

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

Ultralytics YOLOv8 is a machine learning model that predicts bounding boxes, segmentation masks and classes of objects in an image.

Note: YOLOv8-Segmentation cannot be downloaded directly due to licensing restrictions. You can export a model ready for on-device deployment using the AI Hub service.

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Model RepositoryHugging FaceResearch Paper

Technical Details

Model checkpoint:YOLOv8N-Seg
Input resolution:640x640
Number of output classes:80
Number of parameters:3.43M
Model size (float):13.2 MB
Model size (w8a16):3.91 MB

Applicable Scenarios

  • Factory Automation
  • Robotic Navigation
  • Camera

License

Model:AGPL-3.0

Tags

  • real-time

Supported Automotive Devices

  • SA7255P ADP
  • SA8295P ADP
  • SA8775P ADP

Supported Automotive Chipsets

  • Qualcomm® SA7255P
  • Qualcomm® SA8295P
  • Qualcomm® SA8775P

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