{"url":"/dataset/vgg-cell","name":"VGG Cell","full_name":null,"description_markdown":"The **VGG Cell** dataset (made up entirely of synthetic images) is the main public benchmark used to compare cell counting techniques.\n\nSource: [People, Penguins and Petri Dishes: Adapting Object Counting Models To New Visual Domains And Object Types Without Forgetting](https://arxiv.org/abs/1711.05586)\nImage Source: [https://www.robots.ox.ac.uk/~vgg/research/counting/index_org.html](https://www.robots.ox.ac.uk/~vgg/research/counting/index_org.html)","description_withheld":null,"homepage":"https://www.robots.ox.ac.uk/~vgg/research/counting/index_org.html","introduced_date":"2018-01-01","introduced_date_note":null,"introduced_by":{"paper":null,"title":"Microscopy cell counting and detection with fully convolutional regression networks","first_author":null,"url":"https://doi.org/10.1080/21681163.2016.1149104"},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Medical","url":"/datasets/modality/medical"}],"tasks":[{"name":"Object Localization","url":"/task/object-localization","datasets_with_task":"/datasets/task/object-localization"},{"name":"Object Counting","url":"/task/object-counting","datasets_with_task":"/datasets/task/object-counting"}],"languages":[],"variants":["VGG Cell"],"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."}