This paper presents a benchmark dataset and results for automatic detection and classification using deep learning models trained on 24 defects and features in EL images of crystalline silicon solar cells.
Solar panel discoloration is typically the result of long-term exposure to the elements, such as sunlight, rain, and dust. This issue may affect the aesthetic appearance of the panels, but it does not generally impact their functionality or efficiency.