Solar Panel Defect Detection
Thermal and RGB imagery for identifying hot spots, cracks, and degradation patterns in photovoltaic installations.
Open in ViewerThermal and RGB image pairs from solar farm drone surveys capture panel-level anomalies. Annotations mark hot spots, micro-cracks, snail trails, and soiling patterns. The dataset supports predictive maintenance models that help energy operators schedule repairs before power output drops significantly.
What's in this dataset
Task Type
Detection
Tags
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