henrysky/Galaxy10
A CIFAR10-like galaxy image dataset
This dataset provides 17,736 high-quality color images of galaxies, each classified into one of ten distinct categories like 'Disturbed Galaxies' or 'Barred Spiral Galaxies'. It takes raw astronomical image data from sky surveys and provides them with well-defined classifications from the Galaxy Zoo citizen science project. This resource is perfect for astronomers, astrophysicists, and researchers studying galaxy morphology and evolution.
Use this if you need a pre-classified collection of galaxy images for training machine learning models or for astronomical research.
Not ideal if you require a dataset of unclassified galaxy images or if your research focuses on non-visual galaxy properties.
Stars
44
Forks
3
Language
Python
License
MIT
Category
Last pushed
Nov 25, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/henrysky/Galaxy10"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
kratzert/finetune_alexnet_with_tensorflow
Code for finetuning AlexNet in TensorFlow >= 1.2rc0
bamos/densenet.pytorch
A PyTorch implementation of DenseNet.
raghakot/keras-resnet
Residual networks implementation using Keras-1.0 functional API
liuzhuang13/DenseNet
Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).
gpleiss/efficient_densenet_pytorch
A memory-efficient implementation of DenseNets