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Open Access

Peer-reviewed

Research Article

Improved lightweight YOLOv5 based on ShuffleNet and its application on traffic signs detection

Liwei Liu ,

Contributed equally to this work with: Liwei Liu, Lei Wang

Roles Writing – original draft

Affiliations Hebei Key Laboratory of Intelligent Data Information Processing and Control, Tangshan University, Tangshan City, Hebei Province, China, Tangshan Key Laboratory of Intelligent Motion Control System, Tangshan University, Tangshan City, Hebei Province, China
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Lei Wang ,

Contributed equally to this work with: Liwei Liu, Lei Wang

Roles Methodology

Affiliations Hebei Key Laboratory of Intelligent Data Information Processing and Control, Tangshan University, Tangshan City, Hebei Province, China, Tangshan Key Laboratory of Intelligent Motion Control System, Tangshan University, Tangshan City, Hebei Province, China
⨯
Zhuang Ma

Roles Writing – review & editing

* E-mail: t0499@tsc.edu.cn

Affiliations Hebei Key Laboratory of Intelligent Data Information Processing and Control, Tangshan University, Tangshan City, Hebei Province, China, Tangshan Key Laboratory of Intelligent Motion Control System, Tangshan University, Tangshan City, Hebei Province, China

https://orcid.org/0009-0002-6166-8998

⨯

Improved lightweight YOLOv5 based on ShuffleNet and its application on traffic signs detection

Liwei Liu,
Lei Wang,
Zhuang Ma

x

Published: September 10, 2024
https://doi.org/10.1371/journal.pone.0310269

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