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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.

Technical Details

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

Applicable Scenarios

  • Factory Automation
  • Robotic Navigation
  • Camera

Supported Mobile Form Factors

  • Phone
  • Tablet

Licenses

Source Model:AGPL-3.0
Deployable Model:AGPL-3.0

Tags

  • real-time

Supported Mobile Devices

  • Samsung Galaxy S21
  • Samsung Galaxy S21 Ultra
  • Samsung Galaxy S21+
  • 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 Tab S8
  • Snapdragon 8 Elite QRD
  • Snapdragon 8 Gen 3 QRD
  • Xiaomi 12
  • Xiaomi 12 Pro

Supported Mobile Chipsets

  • Snapdragon® 8 Elite Mobile
  • Snapdragon® 8 Gen 1 Mobile
  • Snapdragon® 8 Gen 2 Mobile
  • Snapdragon® 8 Gen 3 Mobile
  • Snapdragon® 888 Mobile

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