{"url":"/dataset/galaxy-zoo-decals","name":"Galaxy Zoo DECaLS","full_name":null,"description_markdown":"Approx. 300,000 images of galaxies labelled by shape.\r\n\r\nLabels are from www.galaxyzoo.org volunteers, and are noisy.\r\nImages are from the DECaLS telescope survey.\r\nAlso includes predictions from an ensemble of EfficientNets, each using MC Dropout and a novel probabilistic loss function.","description_withheld":null,"homepage":"https://doi.org/10.5281/zenodo.4196266","introduced_date":"2020-12-30","introduced_date_note":null,"introduced_by":{"paper":"/paper/galaxy-zoo-decals-detailed-visual-morphology","title":"Galaxy Zoo DECaLS: Detailed Visual Morphology Measurements from Volunteers and Deep Learning for 314,000 Galaxies","first_author":"Mike Walmsley","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Image Classification","url":"/task/image-classification","datasets_with_task":"/datasets/task/image-classification"},{"name":"Learning with noisy labels","url":"/task/learning-with-noisy-labels","datasets_with_task":"/datasets/task/learning-with-noisy-labels"},{"name":"Medical Image Classification","url":"/task/medical-image-classification","datasets_with_task":"/datasets/task/medical-image-classification"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Galaxy Zoo DECaLS","Galaxy10 DECals"],"data_loaders":[],"num_papers_in_archive":6,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/image-classification-on-galaxy10-decals","task":"Image Classification","dataset_variant":"Galaxy10 DECals","rows":2,"metrics":["Top-1 Accuracy (%)","PARAMS (M)"],"first_row_in_archive_order":{"model":"WaveMix","paper":"/paper/wavemix-lite-a-resource-efficient-neural","metrics":{"PARAMS (M)":"28","Top-1 Accuracy (%)":"95.42"},"code_links":[{"title":"pranavphoenix/WaveMix","url":"https://github.com/pranavphoenix/WaveMix"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/medical-image-classification-on-galaxy10","task":"Medical Image Classification","dataset_variant":"Galaxy10 DECals","rows":1,"metrics":["Top-1 Accuracy (%)"],"first_row_in_archive_order":{"model":"Astroformer","paper":"/paper/astroformer-more-data-might-not-be-all-you","metrics":{"Top-1 Accuracy (%)":"94.87"},"code_links":[{"title":"Rishit-dagli/Astroformer","url":"https://github.com/Rishit-dagli/Astroformer"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/astroformer-more-data-might-not-be-all-you","title":"Astroformer: More Data Might not be all you need for Classification","date":"2023-04-03","rows_on_this_dataset":2,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":1,"samples_ran":1,"samples_unverified":0,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/wavemix-lite-a-resource-efficient-neural","title":"WaveMix: A Resource-efficient Neural Network for Image Analysis","date":"2022-05-28","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":1,"samples_harvested":1,"samples_ran":1,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}