GBH-YOLOv5: Ghost Convolution with BottleneckCSP and Tiny Target Prediction Head Incorporating YOLOv5 for PV Panel Defect Detection

GBH-YOLOv5: Ghost Convolution with BottleneckCSP and Tiny Target Prediction Head Incorporating YOLOv5 for PV Panel Defect Detection

Photovoltaic (PV) panel surface-defect detection technology is crucial for the PV industry to perform smart maintenance. Using computer vision technology to detect PV panel surface defects can ensure better accuracy while reducing the workload of traditional worker field inspections. However, multip...

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Bibliographic Details
Main Authors: Longlong Li, Zhifeng Wang, Tingting Zhang
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Electronics
Subjects:
YOLOv5
PV defect detection
BottleneckCSP
GhostConv
tiny target prediction head
Online Access:https://www.mdpi.com/2079-9292/12/3/561

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