{"url":"/dataset/music","name":"MUSIC","full_name":"Multi-Spectral Imaging via Computed Tomography","description_markdown":"The Multi-Spectral Imaging via Computed Tomography (MUSIC) dataset is a two-part (2D- and 3D spectral) open access dataset for advanced image analysis of spectral radiographic (x-ray) scans, their tomographic reconstruction and the detection of specific materials within such scans. The scans operate at a photon energy range of around 20 keV up to 160 keV.\r\n\r\nThe dataset includes — for 2D- as well as 3D spectral data — the corrected (e.g. calibrated) radiographic projections, their tomographic reconstructions (based on 37 projections of 256 detector pixels into a 100×100 pixel CT image per slice) and the corresponding set of segmentation variants.\r\n\r\nSource: [Multi-Spectral Imaging via Computed Tomography (MUSIC)](http://easi-cil.compute.dtu.dk/index.php/datasets/music/)","description_withheld":null,"homepage":"http://easi-cil.compute.dtu.dk/index.php/datasets/music/","introduced_date":"2018-10-28","introduced_date_note":null,"introduced_by":{"paper":"/paper/multi-spectral-imaging-via-computed","title":"Multi-Spectral Imaging via Computed Tomography (MUSIC) - Comparing Unsupervised Spectral Segmentations for Material Differentiation","first_author":"Christian Kehl","url":null},"license":null,"modalities":[{"name":"Hyperspectral images","url":"/datasets/modality/hyperspectral-images"}],"tasks":[{"name":"Semantic Segmentation","url":"/task/semantic-segmentation","datasets_with_task":"/datasets/task/semantic-segmentation"}],"languages":[],"variants":["MUSIC"],"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."}