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Leather Defect Detection Algorithm Based on Improved YOLOv5

In the industrial leather production industry, leather defect detection is an important part of quality control. Aiming at the problems of high computational complexity, difficulties in small target defect detection, and few data samples, this study proposes an improved lightweight leather defect de...

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Bibliografiske detaljer
Hovedforfatter: Junhao LIU, Meilin WANG, Xing XIE, Yexing SONG, Lihua XU
Format: Artigo
Sprog:Inglês
Udgivet: Editorial Office of Computer Engineering 2023-08-01
Serier:Jisuanji gongcheng
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Online adgang:https://www.ecice06.com/fileup/1000-3428/PDF/20230829.pdf
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