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SGN-YOLO: Detecting Wood Defects with Improved YOLOv5 Based on Semi-Global Network
Object detection based on wood defects involves using bounding boxes to label defects in the surface image of the wood. This step is crucial before the transformation of wood products. Due to the small size and diverse shape of wood defects, most previous object detection models are unable to filter...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10649724/ https://www.ncbi.nlm.nih.gov/pubmed/37960405 http://dx.doi.org/10.3390/s23218705 |