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