Real‑time object detection optimized for mobile and edge.
YoloV5 is a machine learning model that predicts bounding boxes and classes of objects in an image.
Model checkpoint:YoloV5-M
Input resolution:640x640
Number of parameters:21.2M
Model size (float):81.1 MB
Model size (w8a16):21.8 MB
Factory Automation
Robotic Navigation
Camera
Source Model: AGPL-3.0
Deployable Model: AGPL-3.0