SolarDK
Introduced by Khomiakov et al. in SolarDK: A high-resolution urban solar panel image classification and localization dataset
SolarDK is a dataset for the detection and localization of solar. It comprises images from GeoDanmark with a variable Ground Sample Distance (GSD) between 10 cm and 15 cm, all sampled between March 1st and May 1st during 2021, containing 23,417 hand labelled images for classification and 880 segmentation masks, in addition to a set of about 100,000+ images for classification covering most variations of Danish urban and rural landscapes.
Source: SolarDK: A high-resolution urban solar panel image classification and localization datasetPapers
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