{"url":"/dataset/hyperspectral-city","name":"Hyperspectral City","full_name":null,"description_markdown":"Propose a dataset which adopts multi-channel visual input.\r\n\r\nSource: [Hyperspectral City](https://pbdl2019.github.io/challenge/index.html)","description_withheld":null,"homepage":"https://pbdl2019.github.io/challenge/index.html","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/hyperspectral-city-v10-dataset-and-benchmark","title":"Hyperspectral City V1.0 Dataset and Benchmark","first_author":"Shaodi You","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Hyperspectral Image Segmentation","url":"/task/hyperspectral-image-segmentation","datasets_with_task":"/datasets/task/hyperspectral-image-segmentation"},{"name":"Hyperspectral Image Classification","url":"/task/hyperspectral-image-classification","datasets_with_task":"/datasets/task/hyperspectral-image-classification"},{"name":"Hyperspectral Semantic Segmentation","url":"/task/hyperspectral-semantic-segmentation","datasets_with_task":"/datasets/task/hyperspectral-semantic-segmentation"}],"languages":[],"variants":["Hyperspectral City"],"data_loaders":[],"num_papers_in_archive":4,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/hyperspectral-semantic-segmentation-on","task":"Hyperspectral Semantic Segmentation","dataset_variant":"Hyperspectral City","rows":3,"metrics":["Jaccard (Mean)","Accuracy ","Average Accuracy","Avg. F1"],"first_row_in_archive_order":{"model":"RU-Net","paper":"/paper/hs3-bench-a-benchmark-and-strong-baseline-for","metrics":{"Accuracy ":"87.63","Average Accuracy":"54.14","Avg. F1":"53.26","Jaccard (Mean)":"43.33"},"code_links":[{"title":"nickstheisen/hyperseg","url":"https://github.com/nickstheisen/hyperseg"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/hs3-bench-a-benchmark-and-strong-baseline-for","title":"HS3-Bench: A Benchmark and Strong Baseline for Hyperspectral Semantic Segmentation in Driving Scenarios","date":"2024-09-17","rows_on_this_dataset":3,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-25T09:33:49+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."}