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RID—Roof Information Dataset for Computer Vision-Based Photovoltaic Potential Assessment
2022
Remote Sensing
Computer vision has great potential to accelerate the global scale of photovoltaic potential analysis by extracting detailed roof information from high-resolution aerial images, but the lack of existing deep learning datasets is a major barrier. Therefore, we present the Roof Information Dataset for semantic segmentation of roof segments and roof superstructures. We assessed the label quality of initial roof superstructure annotations by conducting an annotation experiment and identified
doi:10.3390/rs14102299
fatcat:t3zgj3abrvbz7l2f3sgmxnuuxm