{"url":"/dataset/bbbc005","name":"BBBC005","full_name":null,"description_markdown":"Since robust foreground/background separation and segmentation of cellular objects (i.e.,identification of which pixels below to which objects) strongly depends on image quality, focus artifacts are detrimental to data quality. This image set provides examples of in- and out-of-focus synthetic images, which can be used for validation of focus metrics.\r\n\r\nImage source: [https://bbbc.broadinstitute.org/BBBC005](https://bbbc.broadinstitute.org/BBBC005)","description_withheld":null,"homepage":"https://data.broadinstitute.org/bbbc/BBBC005","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":{"name":"CC0 1.0","url":"https://creativecommons.org/publicdomain/zero/1.0/"},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[],"languages":[],"variants":["BBBC005"],"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."}