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An Improved YOLOv8 Model for Strip Steel Surface Defect Detection

In the process of steel strip production, the accuracy of defect detection remains a challenge due to the diversity of defect types, complex backgrounds, and noise interference. To improve the effectiveness of surface defect detection in steel strips, we propose an enhanced detection model known as...

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Principais autores: Jinwen Wang, Ting Chen, Xinke Xu, Longbiao Zhao, Dijian Yuan, Yu Du, Xiaowei Guo, Ning Chen
Formato: Artigo
Idioma:Inglês
Publicado: MDPI AG 2024-12-01
Series:Applied Sciences
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Acceso en liña:https://www.mdpi.com/2076-3417/15/1/52
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