{"url":"/dataset/cell-200","name":"Cell-200","full_name":null,"description_markdown":"Cell-200 is a a dataset of synthetic fluorescence microscopy images with cell populations generated by SIMCEP. The Cell-200 dataset consists of 200,000 $64\\times 64$ grayscale images. The number of cells per image ranges from 1 to 200 and there are 1,000 images for each cell count. However, only a subset of Cell-200 with only odd cell counts and 10 images per count (1,000 training images in total) is used for the GAN training.","description_withheld":null,"homepage":"https://github.com/UBCDingXin/improved_CcGAN","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["Cell-200"],"data_loaders":[{"repo":"https://github.com/UBCDingXin/improved_CcGAN","url":"https://github.com/UBCDingXin/improved_CcGAN","frameworks":["pytorch"]}],"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."}