YOLOv5-S2C2: An Improved Method of Mask Detection Based on Lightweight

YOLOv5-S2C2: An Improved Method of Mask Detection Based on Lightweight

Masks play a crucial role in preventing respiratory diseases and have diverse applications in national public health and industrial safety. Efficient mask-wearing detection systems are essential for ensuring accuracy and real-time performance. To overcome the challenges of extensive model calculatio...

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Bibliographic Details
Main Authors: Zongyuan Xie, Hongyan Ma, Wei He, Jiechuan Xu, Haoyu Wen
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Image processing
deep learning
detection algorithms
YOLOv5
FasterNet
lightweight network
Online Access:https://ieeexplore.ieee.org/document/10488405/

Internet

https://ieeexplore.ieee.org/document/10488405/

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