metadata
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype: int64
- name: id_str
dtype: string
splits:
- name: train
num_bytes: 624197006
num_examples: 8000
- name: test
num_bytes: 157244228
num_examples: 2000
download_size: 781334590
dataset_size: 781441234
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
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