Metal surface defect detection using SLF-YOLO enhanced YOLOv8 model

Metal surface defect detection using SLF-YOLO enhanced YOLOv8 model

Abstract This paper addresses the industrial demand for precision and efficiency in metal surface defect detection by proposing SLF-YOLO, a lightweight object detection model designed for resource-constrained environments. The key innovations of SLF-YOLO include a novel SC_C2f module with a channel...

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Bibliographic Details
Main Authors: Yuan Liu, Yilong Liu, Xiaoyan Guo, Xi Ling, Qingyi Geng
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:Scientific Reports
Subjects:
Surface defect detection
YOLOv8
Lightweight model
Multi-scale fusion
Optimized loss function
Online Access:https://doi.org/10.1038/s41598-025-94936-9
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https://doi.org/10.1038/s41598-025-94936-9

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