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5,000+ Solar Panel Images Annotated for Defect Detection

A UK solar panel manufacturer needed 5,000+ drone-captured RGB and thermal images labeled to train its defect detection algorithm. Spotting micro-cracks, delamination, and hotspot heating, while mastering a proprietary tool and reading shading patterns, demanded expert annotation.

How we improved defect detection accuracy by 35% and cut overhead costs by 20%
5,000+ Solar Panel Images Annotated for Defect Detection
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