Optimized YOLOv8 for lightweight and high-precision metal surface defect detection in industrial applications.

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Title: Optimized YOLOv8 for lightweight and high-precision metal surface defect detection in industrial applications.
Authors: Li, Ruiping1, lrplrplrplrp@126.com, Zhao, Linchang1,2, anilue@alu.cqu.edu.cn, Wei, Hao1, Weihaodataanalysis@163.com, OuYang, Bocheng1, XXsis@163.com, Zhang, Mu1, jk1041@gyu.edu.cn, Fang, Bing1, 1123448247@protonmail.com, Hu, Guoqing3, huking@pku.edu.cn, Tan, Jin4, gogirl1122@qq.com
Source: Machine Learning; Oct2025, Vol. 114 Issue 10, p1-35, 35p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 187733174
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Optimized YOLOv8 for lightweight and high-precision metal surface defect detection in industrial applications.
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  Data: <searchLink fieldCode="AU" term="%22Li%2C+Ruiping%22">Li, Ruiping</searchLink><relatesTo>1</relatesTo>, <i>lrplrplrplrp@126.com</i><br /><searchLink fieldCode="AU" term="%22Zhao%2C+Linchang%22">Zhao, Linchang</searchLink><relatesTo>1,2</relatesTo>, <i>anilue@alu.cqu.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Wei%2C+Hao%22">Wei, Hao</searchLink><relatesTo>1</relatesTo>, <i>Weihaodataanalysis@163.com</i><br /><searchLink fieldCode="AU" term="%22OuYang%2C+Bocheng%22">OuYang, Bocheng</searchLink><relatesTo>1</relatesTo>, <i>XXsis@163.com</i><br /><searchLink fieldCode="AU" term="%22Zhang%2C+Mu%22">Zhang, Mu</searchLink><relatesTo>1</relatesTo>, <i>jk1041@gyu.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Fang%2C+Bing%22">Fang, Bing</searchLink><relatesTo>1</relatesTo>, <i>1123448247@protonmail.com</i><br /><searchLink fieldCode="AU" term="%22Hu%2C+Guoqing%22">Hu, Guoqing</searchLink><relatesTo>3</relatesTo>, <i>huking@pku.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Tan%2C+Jin%22">Tan, Jin</searchLink><relatesTo>4</relatesTo>, <i>gogirl1122@qq.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Machine+Learning%22">Machine Learning</searchLink>; Oct2025, Vol. 114 Issue 10, p1-35, 35p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=187733174
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s10994-025-06857-3
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      – Code: eng
        Text: English
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        PageCount: 35
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      – TitleFull: Optimized YOLOv8 for lightweight and high-precision metal surface defect detection in industrial applications.
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            NameFull: Zhang, Mu
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            – D: 01
              M: 10
              Text: Oct2025
              Type: published
              Y: 2025
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            – TitleFull: Machine Learning
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