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image_rgb
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ra
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End of preview. Expand in Data Studio

Description Benchmark based on GalaxyZoo

arXiv

A small sample of the GZ-DECaLS dataset to cheaply test the ability of vision-language models to describe galaxy images.

Data source

The underlying catalog data are derived from the Galaxy Zoo DECaLS: Detailed Visual Morphology Measurements from Volunteers and Deep Learning for 314,000 Galaxies and remain subject to their original data-use policy and required acknowledgements.

Embeddings Citation

@misc{koblischke2025semantic,
      title={Semantic search for 100M+ galaxy images using AI-generated captions}, 
      author={Nolan Koblischke and Liam Parker and Francois Lanusse and Irina Espejo Morales and Jo Bovy and Shirley Ho},
      year={2025},
      eprint={2512.11982},
      archivePrefix={arXiv},
      primaryClass={astro-ph.IM},
      url={https://arxiv.org/abs/2512.11982}, 
}

GZ-DECaLS Dataset Citation

@dataset{walmsley_mike_2020_4573248,
  author       = {Walmsley, Mike and
                  Lintott, Chris and
                  Tobias, Geron and
                  Kruk, Sandor J and
                  Krawczyk, Coleman and
                  Willett, Kyle and
                  Bamford, Steven and
                  Kelvin, Lee S and
                  Fortson, Lucy and
                  Gal, Yarin and
                  Keel, William and
                  Masters, Karen and
                  Mehta, Vihang and
                  Simmons, Brooke and
                  Smethurst, Rebecca J and
                  Smith, Lewis and
                  Baeten, Elisabeth M L and
                  Macmillan, Christine},
  title        = {{Galaxy Zoo DECaLS: Detailed Visual Morphology 
                   Measurements from Volunteers and Deep Learning for
                   314,000 Galaxies}},
  month        = dec,
  year         = 2020,
  publisher    = {Zenodo},
  version      = {0.0.2},
  doi          = {10.5281/zenodo.4573248},
  url          = {https://doi.org/10.5281/zenodo.4573248}
}
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