Real‑time object detection optimized for mobile and edge by Ultralytics.
Ultralytics YOLOv11 is a machine learning model that predicts bounding boxes and classes of objects in an image.
Model checkpoint:YOLO11-N
Input resolution:640x640
Number of parameters:2.64M
Model size (float):10.1 MB
Model size (w8a8):2.83 MB
Model size (w8a16):3.30 MB
Factory Automation
Robotic Navigation
Camera
Source Model: AGPL-3.0
Deployable Model: AGPL-3.0