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...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:Sensors
المؤلفون الرئيسيون: Wei Meng, Yilin Yuan
التنسيق: مقال
اللغة:الإنجليزية
منشور في: MDPI AG 2023-10-01
الموضوعات:
deep learning
wood defects detection
YOLOv5
attention mechanism
EIOU loss function
الوصول للمادة أونلاين:https://www.mdpi.com/1424-8220/23/21/8705

الانترنت

https://www.mdpi.com/1424-8220/23/21/8705

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