This paper presents an innovative explainable AI model for detecting anomalies in solar photovoltaic panels using an enhanced convolutional neural network (CNN) and the VGG16 architecture. Object detection with YOLOv5 models and image segmentation with Unet++, FPN, DLV3+ and PSPNet. To address the shortcomings of existing photovoltaic defect detection technologies, such as high labor costs, large workloads. .
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