From LAION-5B to LAION-EO: Filtering Billions of Images Using Anchor
  Datasets for Satellite Image Extraction
Mikolaj Czerkawski Alistair Francis
Large datasets, such as LAION-5B, contain a diverse distribution of images
shared online. However, extraction of domain-specific subsets of large image
corpora is challenging. The extraction approach based on an anchor dataset,
combined with further filtering, is proposed here and demonstrated for the
domain of satellite imagery. This results in the release of LAION-EO, a dataset
sourced from the web containing pairs of text and satellite images in high
(pixel-wise) resolution. The paper outlines the acquisition procedure as well
as some of the features of the dataset.