datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
galaxy-zoo-dataset
Galaxy Morphological Classification (Derived from Galaxy Zoo)
Dataset Summary
This dataset is designed for Galaxy Morphological Classification tasks, specifically tailored for training deep learning models such as Efficient Vision Transformers (ViT).
The dataset contains galaxy images and their corresponding morphological labels (8 classes). The underlying images and ground-truth classifications are derived from the Galaxy Zoo DECaLS project (Walmsley et al., 2022). The… See the full description on the dataset page: https://huggingface.co/datasets/mrJordi0/galaxy-zoo-dataset.SDSS-GalaxyZoo2-Preprocessed
Galaxy Zoo 2 - Preprocessed Dataset
Preprocessed galaxy images from SDSS with Galaxy Zoo 2 morphological classifications, ready for deep learning.
📁 Dataset Structure
├── labels.csv # All ~239K galaxy labels (101 MB)
├── labels_sampled.csv # 25K stratified sample (11 MB)
├── preprocessed_69x69.zip # Full dataset at 69×69 resolution (2.8 GB)
├── preprocessed_224x224.zip # Full dataset at 224×224 resolution (3.14 GB)
├──… See the full description on the dataset page: https://huggingface.co/datasets/marwa000000000/SDSS-GalaxyZoo2-Preprocessed.galaxy-zoo-dataset
Galaxy Morphological Classification (Derived from Galaxy Zoo)
Dataset Summary
This dataset is designed for Galaxy Morphological Classification tasks, specifically tailored for training deep learning models such as Efficient Vision Transformers (ViT).
The dataset contains galaxy images and their corresponding morphological labels (8 classes). The underlying images and ground-truth classifications are derived from the Galaxy Zoo DECaLS project (Walmsley et al., 2022). This… See the full description on the dataset page: https://huggingface.co/datasets/Greate123/galaxy-zoo-dataset.galaxyzoo10_legacysurvey
Galaxy Zoo 10 × Legacy Survey DR9
Dataset Summary
This dataset contains 7,864 galaxies from the
Galaxy Zoo 10 morphology catalogue,
cross-matched with Legacy Survey DR9 imaging.
Each sample includes:
A 4-channel 160×160 pixel image (Legacy Survey grz + WISE W1),
stored as raw calibrated flux (nanomaggies). Normalization is left to the training pipeline.
10-class morphology label (gz10_label, gz10_class_name)
Photometric scalars: flux densities (g, r, i, z, W1… See the full description on the dataset page: https://huggingface.co/datasets/OneAstronomy/galaxyzoo10_legacysurvey.