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
Tags
- real-time
Supported IoT Devices
- QCS8550 (Proxy)
Supported IoT Chipsets
- Qualcomm® QCS8550 (Proxy)
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