Dataset Viewer
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train_galaxy_97
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train_galaxy_98
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train_galaxy_99
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End of preview. Expand
in Data Studio
Dataset GZMNIST
Dataset create from Mike Walmsley repo : https://github.com/mwalmsley/galaxy_mnist Contains 10,000 images of galaxies, only HiRes 3x224x224. Confidently labelled by Galaxy Zoo volunteers as belonging to one of four morphology classes.
Classes
- 0 : 'smooth and round'
- 1 : 'smooth and cigar-shaped'
- 2 : 'edge-on-disk'
- 3 : 'unbarred spiral
Data from / Citation :
Walmsley et al.(2022) - 2022MNRAS.509.3966W Walmsley, M. and 17 colleagues 2022. Galaxy Zoo DECaLS: Detailed visual morphology measurements from volunteers and deep learning for 314 000 galaxies. Monthly Notices of the Royal Astronomical Society 509, 3966–3988. doi:10.1093/mnras/stab2093
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