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Lightweight strip steel defect detection algorithm based on improved YOLOv7

Abstract 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 intro...

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Autors principals: Jianbo Lu, MiaoMiao Yu, Junyu Liu
Format: Artigo
Idioma:Inglês
Publicat: Nature Portfolio 2024-06-01
Col·lecció:Scientific Reports
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Accés en línia:https://doi.org/10.1038/s41598-024-64080-x
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