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-timeA “real-time” model can typically achieve 5-60 predictions per second. This translates to latency ranging up to 200 ms per prediction.
Supported Compute Chipsets
- Snapdragon® X Elite