{"url":"/dataset/sstem","name":"ssTEM","full_name":null,"description_markdown":"We provide two image stacks where each contains 20 sections from serial section Transmission Electron Microscopy (ssTEM) of the Drosophila melanogaster third instar larva ventral nerve cord. Both stacks measure approx. 4.7 x 4.7 x 1 microns with a resolution of 4.6 x 4.6 nm/pixel and section thickness of 45-50 nm.\r\n\r\nIn addition to the raw image data, we provide for the first stack a dense labeling of neuron membranes (including orientation and junction), mitochondria, synapses and glia/extracellular space. The first stack serves as a training dataset, and a second stack of the same dimension can be used as a test dataset.\r\n\r\nSource: [https://figshare.com/articles/dataset/Segmented_anisotropic_ssTEM_dataset_of_neural_tissue/856713](https://figshare.com/articles/dataset/Segmented_anisotropic_ssTEM_dataset_of_neural_tissue/856713)\r\n\r\nImage source:  [https://figshare.com/articles/dataset/Segmented_anisotropic_ssTEM_dataset_of_neural_tissue/856713](https://figshare.com/articles/dataset/Segmented_anisotropic_ssTEM_dataset_of_neural_tissue/856713)","description_withheld":null,"homepage":"https://github.com/unidesigner/groundtruth-drosophila-vnc/archive/master.zip","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"modalities":[],"tasks":[{"name":"Interactive Segmentation","url":"/task/interactive-segmentation","datasets_with_task":"/datasets/task/interactive-segmentation"}],"languages":[],"variants":["ssTEM"],"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/interactive-segmentation-on-sstem","task":"Interactive Segmentation","dataset_variant":"ssTEM","rows":1,"metrics":["Instance Average IoU"],"first_row_in_archive_order":{"model":"IOG","paper":"/paper/interactive-object-segmentation-with-inside","metrics":{"Instance Average IoU":"83.7"},"code_links":[{"title":"shiyinzhang/Inside-Outside-Guidance","url":"https://github.com/shiyinzhang/Inside-Outside-Guidance"},{"title":"shiyinzhang/Pixel-ImageNet","url":"https://github.com/shiyinzhang/Pixel-ImageNet"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/interactive-object-segmentation-with-inside","title":"Interactive Object Segmentation With Inside-Outside Guidance","date":"2020-06-01","rows_on_this_dataset":1,"code_links":2,"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."}