Insulator Defect Detection Based on ML-YOLOv5 Algorithm

Insulator Defect Detection Based on ML-YOLOv5 Algorithm

To address the challenges of balancing accuracy and speed, as well as the parameters and FLOPs in current insulator defect detection, we propose an enhanced insulator defect detection algorithm, ML-YOLOv5, based on the YOLOv5 network. The backbone module incorporates depthwise separable convolution,...

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Bibliographic Details
Main Authors: Tong Wang, Yidi Zhai, Yuhang Li, Weihua Wang, Guoyong Ye, Shaobo Jin
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Sensors
Subjects:
convolutional neural networks
object detection
feature fusion
attention mechanisms
Online Access:https://www.mdpi.com/1424-8220/24/1/204

Internet

https://www.mdpi.com/1424-8220/24/1/204

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