phd-benel/BGI
Broken Glass Insulator Dataset for UAV inspection of power lines
This dataset provides images and annotations for identifying broken glass insulators on power lines using computer vision. It's designed for electrical grid operators, maintenance teams, or researchers who need to train AI models to detect damaged equipment from aerial inspection photos. You input images of power lines, and the dataset helps you build a system that can output the locations of broken insulators.
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Use this if you are developing or training an automated system to detect damaged glass insulators on high-voltage power lines from aerial imagery.
Not ideal if you are looking for a pre-trained model or a tool to directly analyze your images, as this is a dataset for training, not a ready-to-use application.
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Feb 10, 2023
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