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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| Hauptverfasser: | , , |
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| Format: | Artigo |
| Sprache: | Inglês |
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MDPI AG
2025-08-01
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| Schriftenreihe: | Applied Sciences |
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| Online-Zugang: | https://www.mdpi.com/2076-3417/15/15/8759 |
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