Aerial image dataset automatically maps rooftop solar arrays – pv magazine International

Scientists at Mines Paris-PSL University in France have created a dataset of aerial images, segmentation masks, and installation metadata for rooftop PV systems. They conceived the dataset to set up installation registries by extracting small-scale PV metadata from overhead imagery. "Our dataset provides ground truth installation masks for 13303 images from Google Earth and 7686 images from the French national institute of geographical and forestry information (IGN)," the researchers said, noting that the metadata includes installed power, surface, tilt, and azimuth angles. "To address architectural differences, researchers can either use the coarse-grained location included in our dataset or use our dataset in conjunction with other training datasets that mapped different areas." The dataset provides thumbnails with a resolution of 400 400 pixels centered around the locations of PV systems.