Real‑time object detection optimized for mobile and edge by Ultralytics.
Ultralytics YOLOv8 is a machine learning model that predicts bounding boxes and classes of objects in an image.
Model checkpoint:YOLOv8-N
Input resolution:640x640
Number of parameters:3.18M
Model size (float):12.2 MB
Model size (w8a8):3.25 MB
Model size (w8a16):3.60 MB
Factory Automation
Robotic Navigation
Camera
Source Model: AGPL-3.0
Deployable Model: AGPL-3.0