Dataset Viewer
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imagewidth (px) 224
224
| label
int64 0
3
| id_str
stringlengths 14
17
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1 | train_galaxy_0 |
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1 | train_galaxy_1 |
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3 | train_galaxy_2 |
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1 | train_galaxy_3 |
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3 | train_galaxy_4 |
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3 | train_galaxy_5 |
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0 | train_galaxy_6 |
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0 | train_galaxy_7 |
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0 | train_galaxy_8 |
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0 | train_galaxy_9 |
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0 | train_galaxy_10 |
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2 | train_galaxy_11 |
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2 | train_galaxy_12 |
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0 | train_galaxy_13 |
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0 | train_galaxy_14 |
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3 | train_galaxy_15 |
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3 | train_galaxy_16 |
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3 | train_galaxy_17 |
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3 | train_galaxy_18 |
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1 | train_galaxy_19 |
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1 | train_galaxy_20 |
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3 | train_galaxy_21 |
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0 | train_galaxy_22 |
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3 | train_galaxy_23 |
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1 | train_galaxy_24 |
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3 | train_galaxy_25 |
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1 | train_galaxy_26 |
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1 | train_galaxy_27 |
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3 | train_galaxy_28 |
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2 | train_galaxy_29 |
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2 | train_galaxy_30 |
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0 | train_galaxy_31 |
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3 | train_galaxy_32 |
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3 | train_galaxy_33 |
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2 | train_galaxy_34 |
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2 | train_galaxy_35 |
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2 | train_galaxy_36 |
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1 | train_galaxy_37 |
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0 | train_galaxy_38 |
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2 | train_galaxy_39 |
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1 | train_galaxy_40 |
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3 | train_galaxy_41 |
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0 | train_galaxy_42 |
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3 | train_galaxy_43 |
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1 | train_galaxy_44 |
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2 | train_galaxy_45 |
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2 | train_galaxy_46 |
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0 | train_galaxy_47 |
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3 | train_galaxy_48 |
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2 | train_galaxy_49 |
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1 | train_galaxy_50 |
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2 | train_galaxy_51 |
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2 | train_galaxy_52 |
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1 | train_galaxy_53 |
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1 | train_galaxy_54 |
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3 | train_galaxy_55 |
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1 | train_galaxy_56 |
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1 | train_galaxy_57 |
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3 | train_galaxy_58 |
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3 | train_galaxy_59 |
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0 | train_galaxy_60 |
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3 | train_galaxy_61 |
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3 | train_galaxy_62 |
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3 | train_galaxy_63 |
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3 | train_galaxy_64 |
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0 | train_galaxy_65 |
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3 | train_galaxy_66 |
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1 | train_galaxy_67 |
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2 | train_galaxy_68 |
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1 | train_galaxy_69 |
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3 | train_galaxy_70 |
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2 | train_galaxy_71 |
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1 | train_galaxy_72 |
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2 | train_galaxy_73 |
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1 | train_galaxy_74 |
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3 | train_galaxy_75 |
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3 | train_galaxy_76 |
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2 | train_galaxy_77 |
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2 | train_galaxy_78 |
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1 | train_galaxy_79 |
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0 | train_galaxy_80 |
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1 | train_galaxy_81 |
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2 | train_galaxy_82 |
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1 | train_galaxy_83 |
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2 | train_galaxy_84 |
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2 | train_galaxy_85 |
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3 | train_galaxy_86 |
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0 | train_galaxy_87 |
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1 | train_galaxy_88 |
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3 | train_galaxy_89 |
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1 | train_galaxy_90 |
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2 | train_galaxy_91 |
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2 | train_galaxy_92 |
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1 | train_galaxy_93 |
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3 | train_galaxy_94 |
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1 | train_galaxy_95 |
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0 | train_galaxy_96 |
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2 | train_galaxy_97 |
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0 | train_galaxy_98 |
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2 | train_galaxy_99 |
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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