Real‑time object detection optimized for mobile and edge.
YoloV6 is a machine learning model that predicts bounding boxes and classes of objects in an image.
Model checkpoint:YoloV6-N
Input resolution:640x640
Number of parameters:4.68M
Model size (float):17.9 MB
Model size (w8a8):4.68 MB
Model size (w8a16):5.03 MB
Factory Automation
Robotic Navigation
Camera
Source Model: GPL-3.0
Deployable Model: GPL-3.0