{"url":"/dataset/singan-seg-polyps","name":"SinGAN-Seg-polyps","full_name":null,"description_markdown":"**SinGAN-Seg-polyps** is a synthetic dataset for polyp segmentation consisting of 10,000 synthetic polyps and masks.","description_withheld":null,"homepage":"https://osf.io/xrgz8/","introduced_date":"2021-06-29","introduced_date_note":null,"introduced_by":{"paper":"/paper/singan-seg-synthetic-training-data-generation","title":"SinGAN-Seg: Synthetic training data generation for medical image segmentation","first_author":"Vajira Thambawita","url":null},"license":{"name":"Attribution 4.0 International (CC BY 4.0)","url":"https://creativecommons.org/licenses/by/4.0/"},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Biomedical","url":"/datasets/modality/biomedical"},{"name":"Medical","url":"/datasets/modality/medical"}],"tasks":[],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["SinGAN-Seg-polyps"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"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."}