787 citations · 3.9k across the 29 of their papers we have counts for
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Galaxy Zoo Evo: 1 million human-annotated images of galaxies
Mike Walmsley, Steven Bamford, Hugh Dickinson +17
We introduce Galaxy Zoo Evo, a labeled dataset for building and evaluating foundation models on images of galaxies. GZ Evo includes 104M crowdsourced labels for 823k images from fo…
Integrating human and machine intelligence in galaxy morphology classification tasks
Melanie R. Beck, Claudia Scarlata, Lucy F. Fortson +8
Quantifying galaxy morphology is a challenging yet scientifically rewarding task. As the scale of data continues to increase with upcoming surveys, traditional classification metho…
Rotation-invariant convolutional neural networks for galaxy morphology prediction
Sander Dieleman, Kyle W. Willett, Joni Dambre
Measuring the morphological parameters of galaxies is a key requirement for studying their formation and evolution. Surveys such as the Sloan Digital Sky Survey (SDSS) have resulte…