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Large datasets, such as LAION-5B, contain a diverse distribution of imagesshared online. However, extraction of domain-specific subsets of large imagecorpora is challenging. The extraction approach based on an anchor dataset,combined with further filtering, is proposed here and demonstrated for thedomain of satellite imagery. This results in the release of LAION-EO, a datasetsourced from the web containing pairs of text and satellite images in high(pixel-wise) resolution. The paper outlines the acquisition procedure as wellas some of the features of the dataset.

From LAION-5B to LAION-EO: Filtering Billions of Images Using Anchor Datasets for Satellite Image Extraction