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RSTD-YOLOv7: a steel surface defect detection based on improved YOLOv7

Abstract Steel surface defect detection is one of the important applications of object detection technology in industry, which can accurately detect surface defects and improve the quality of products. To address the issues of low detection accuracy caused by less area, small scale and similarity be...

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Главный автор: Hongru Song
Формат: Artigo
Язык:Inglês
Опубликовано: Nature Portfolio 2025-06-01
Серии:Scientific Reports
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Online-ссылка:https://doi.org/10.1038/s41598-025-04811-w
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