YOLOv11-Segmentation

简介

Real‑time object segmentation optimized for mobile and edge by Ultralytics.
Ultralytics YOLOv11 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:YOLO11N-Seg
Input resolution:640x640
Number of output classes:80
Number of parameters:2.89M
Model size (float):11.1 MB
Model size (w8a16):11.4 MB

应用领域

Factory Automation
Robotic Navigation
Camera

授权信息

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