A two-branch network on ResNet-50 features reports 94.59% accuracy for clean versus soiled solar panel classification on DeepSolarEye.
Deepsolareye: Power loss prediction and weakly supervised soiling localization via fully convoluti onal networks for solar panels,
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A Hybrid Ensemble Learning Framework for Image-Based Solar Panel Classification
A two-branch network on ResNet-50 features reports 94.59% accuracy for clean versus soiled solar panel classification on DeepSolarEye.