YOLOv8-cop: an improved YOLOv8-based surface defect detection algorithm for special-shaped copper strips
The surface quality of shaped copper strips plays an essential role in the quality of the product. Currently, detecting defects on shaped copper strips primarily relies on manual visual inspection. However, inspectors’ subjective judgment and fatigue may affect the inspection results, leading to poo...
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| Hauptverfasser: | , , , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
PeerJ Inc.
2026-06-01
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| Schriftenreihe: | PeerJ Computer Science |
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| Online-Zugang: | https://peerj.com/articles/cs-3771.pdf |
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