Yolo-v7

简介

Real‑time object detection optimized for mobile and edge.
YoloV7 is a machine learning model that predicts bounding boxes and classes of objects in an image.

效果视频

规格与下载

技术细节

Model checkpoint:YoloV7 Tiny
Input resolution:640x640
Number of parameters:6.24M
Model size (float):23.8 MB
Model size (w8a8):6.23 MB
Model size (w8a16):6.66 MB

应用领域

Factory Automation
Robotic Navigation
Camera

授权信息

Source Model: GPL-3.0
Deployable Model: GPL-3.0