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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Language
Python
License
Apache-2.0
Last pushed
Apr 03, 2026
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