VisionExpo/solar-panel-fault-detection

Solar Panel Fault Detection Using Deep Learning: A Computer Vision Approach This project presents an automated system for detecting and classifying faults in solar panels using state-of-the-art deep learning and computer vision techniques. Leveraging an EfficientNetB0-based architecture, the model accurately identifies six categories of faults: bi

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Maintenance 13 / 25
Adoption 3 / 25
Maturity 16 / 25
Community 0 / 25

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3

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Language

Python

License

Apache-2.0

Last pushed

Apr 03, 2026

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