Lightweight strip steel defect detection algorithm based on improved YOLOv7
Lightweight strip steel defect detection algorithm based on improved YOLOv7
About this item
Full title
Author / Creator
Lu, Jianbo , Yu, MiaoMiao and Liu, Junyu
Publisher
London: Nature Publishing Group UK
Journal title
Language
English
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Publication information
Publisher
London: Nature Publishing Group UK
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More information
Scope and Contents
Contents
The precise identification of surface imperfections in steel strips is crucial for ensuring steel product quality. To address the challenges posed by the substantial model size and computational complexity in current algorithms for detecting surface defects in steel strips, this paper introduces SS-YOLO (YOLOv7 for Steel Strip), an enhanced lightwe...
Alternative Titles
Full title
Lightweight strip steel defect detection algorithm based on improved YOLOv7
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_3c69bdffb5874501810cac6dcb5d2387
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3c69bdffb5874501810cac6dcb5d2387
Other Identifiers
ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-024-64080-x
