Workshop Safety Helmet Wearing Detection Model Based on SCM-YOLO

Workshop Safety Helmet Wearing Detection Model Based on SCM-YOLO

In order to overcome the problems of object detection in complex scenes based on the YOLOv4-tiny algorithm, such as insufficient feature extraction, low accuracy, and low recall rate, an improved YOLOv4-tiny safety helmet-wearing detection algorithm SCM-YOLO is proposed. Firstly, the Spatial Pyramid...

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Bibliographic Details
Main Authors: Bin Zhang, Chuan-Feng Sun, Shu-Qi Fang, Ye-Hai Zhao, Song Su
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Sensors
Subjects:
YOLOv4-tiny
safety helmet wearing detection
convolutional block attention module
label smoothing
spatial pyramid pooling structure
K-Means++ clustering algorithm
Online Access:https://www.mdpi.com/1424-8220/22/17/6702

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