MCAW-YOLO: An Efficient Detection Model for Ceramic Tile Surface Defects
Traditional manual visual detection methods are inefficient, subjective, and costly, making them prone to false and missed detections. Deep-learning-based defect detection identifies the types of defects and pinpoints their locations. By employing this approach, we could enhance the production workf...
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| Hoofdauteurs: | , , , , |
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| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
MDPI AG
2023-11-01
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| Reeks: | Applied Sciences |
| Onderwerpen: | |
| Online toegang: | https://www.mdpi.com/2076-3417/13/21/12057 |
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