CRUMB: the Collected Radiogalaxies Using MiraBest dataset

The CRUMB dataset is a machine learning image dataset of Fanaroff-Riley galaxies, constructed by combining the datasets of MiraBest, FR-DEEP, AT17 and a supplementary MiraBest hybrid dataset. Sources are labelled using a unified "basic" label system with the following classes: 0: FRI 1: FRII 2: Hybrid source The original labels of each of the parent datasets are also retained as a "complete" label which is accessible using the built-in "complete_labels" method on the dataloader. These labels are as follows: MiraBest: 0 (confidently-classified FRI), 1 (confidently-classified wide-angle-tail), 2 (confidently-classified head-tail), 3 (uncertainly-classified FRI), 4 (uncertainly-classified wide-angle-tail), 5 (confidently-classified FRII), 6 (confidently-classified double-double), 7 (uncertainly-classified FRII), 8 (confidently-classified hybrid), 9 (uncertainly-classified hybrid) FR-DEEP: 0 (FRI), 1 (FRII) AT17: 0 (FRI), 1 (FRII), 2 (bent) MiraBest Hybrid: 0 (confidently-classified hybrid), 1 (uncertainly-classified hybrid) For examples of how to use CRUMB, please see its Github.