{"url":"/dataset/mitoem","name":"MitoEM","full_name":null,"description_markdown":"Contains mitochondria instances.\r\n\r\nSource: [MitoEM](https://mitoem.grand-challenge.org/)","description_withheld":null,"homepage":"https://mitoem.grand-challenge.org/","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[],"tasks":[{"name":"3D Instance Segmentation","url":"/task/3d-instance-segmentation-1","datasets_with_task":"/datasets/task/3d-instance-segmentation-1"}],"languages":[],"variants":["MitoEM"],"data_loaders":[],"num_papers_in_archive":3,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/3d-instance-segmentation-on-mitoem","task":"3D Instance Segmentation","dataset_variant":"MitoEM","rows":2,"metrics":["AP75-R-Val","AP75-H-Val","AP75-R-Test","AP75-H-Test"],"first_row_in_archive_order":{"model":"Res-UNet-R/H","paper":"/paper/advanced-deep-networks-for-3d-mitochondria","metrics":{"AP75-H-Test":"0.829 ","AP75-H-Val":"0.828","AP75-R-Test":"0.851","AP75-R-Val":"0.917"},"code_links":[{"title":"Limingxing00/MitoEM2021-Challenge","url":"https://github.com/Limingxing00/MitoEM2021-Challenge"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/advanced-deep-networks-for-3d-mitochondria","title":"Advanced Deep Networks for 3D Mitochondria Instance Segmentation","date":"2021-04-16","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/mitoem-dataset-large-scale-3d-mitochondria","title":"MitoEM Dataset: Large-scale 3D Mitochondria Instance Segmentation from EM Images","date":"2020-10-04","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"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."}