Real‑time object detection optimized for mobile and edge.
YoloV3 is a machine learning model that predicts bounding boxes and classes of objects in an image.
Model checkpoint:YoloV3 Tiny
Input resolution:416p (416x416)
Number of parameters:11.5M
Model size (float):43.9 MB
Model size (w8a16):16.9 MB
Factory Automation
Robotic Navigation
Camera
Source Model: AGPL-3.0
Deployable Model: AGPL-3.0