{"url":"/dataset/aerorit","name":"AeroRIT","full_name":null,"description_markdown":"AeroRIT is a hyperspectral dataset to facilitate aerial hyperspectral scene understanding.\r\n\r\nSource: [AeroRIT: A New Scene for Hyperspectral Image Analysis](/paper/aerorit-a-new-scene-for-hyperspectral-image)\r\nImage Source: [https://github.com/aneesh3108/AeroRIT](https://github.com/aneesh3108/AeroRIT)","description_withheld":null,"homepage":"https://github.com/aneesh3108/AeroRIT","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/aerorit-a-new-scene-for-hyperspectral-image","title":"AeroRIT: A New Scene for Hyperspectral Image Analysis","first_author":"Aneesh Rangnekar","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Semantic Segmentation","url":"/task/semantic-segmentation","datasets_with_task":"/datasets/task/semantic-segmentation"},{"name":"Image Super-Resolution","url":"/task/image-super-resolution","datasets_with_task":"/datasets/task/image-super-resolution"},{"name":"Scene Understanding","url":"/task/scene-understanding","datasets_with_task":"/datasets/task/scene-understanding"}],"languages":[],"variants":["AeroRIT"],"data_loaders":[{"repo":"https://github.com/aneesh3108/AeroRIT","url":"https://github.com/aneesh3108/AeroRIT","frameworks":["pytorch"]}],"num_papers_in_archive":4,"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."}