Steel Surface Defect Detection Algorithm Based on Improved YOLOv8 Modeling

Detecting steel defects is a vital process in industrial production, but traditional methods suffer from poor feature extraction and low detection accuracy. To address these issues, this research introduces an improved model, EB-YOLOv8, based on YOLOv8. First, the multi-scale attention mechanism EMA...

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Bibliografiset tiedot

Päätekijät:	Miao Peng, Sue Bai, Yang Lu
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	MDPI AG 2025-08-01
Sarja:	Applied Sciences
Aiheet:	YOLOv8 object detection attention mechanism BiFPN feature fusion
Linkit:	https://www.mdpi.com/2076-3417/15/15/8759
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