YOLOv8-Segmentation

简介

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.

效果视频

规格与下载

技术细节

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

应用领域

Factory Automation
Robotic Navigation
Camera

授权信息

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