{"url":"/dataset/pcam200","name":"PCam200","full_name":"Patch Camelyon in 200 microns by 512 px","description_markdown":"**PCam200** is a public pathological H&E image dataset from Patch Camelyon in 200 microns by 512 px made in the same manner from Camelyon2016 challenge dataset.","description_withheld":null,"homepage":"https://drive.google.com/drive/folders/1Oh7onawKsDW5ScamVO5ByXFgqdYJ39sK?usp=drive_link","introduced_date":"2023-03-28","introduced_date_note":null,"introduced_by":{"paper":"/paper/large-scale-pretraining-on-pathological","title":"Large-scale pretraining on pathological images for fine-tuning of small pathological benchmarks","first_author":"Masataka Kawai","url":null},"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["PCam200"],"data_loaders":[],"num_papers_in_archive":2,"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."}