ELPV (A dataset of functional and defective solar cells extracted from EL images of solar modules)
Introduced by Deitsch et al. in Automatic Classification of Defective Photovoltaic Module Cells in Electroluminescence Images
The dataset contains 2,624 samples of $300\times300$ pixels 8-bit grayscale images of functional and defective solar cells with varying degree of degradations extracted from 44 different solar modules. The defects in the annotated images are either of intrinsic or extrinsic type and are known to reduce the power efficiency of solar modules.
All images are normalized with respect to size and perspective. Additionally, any distortion induced by the camera lens used to capture the EL images was eliminated prior to solar cell extraction.
Papers
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