{"url":"/dataset/cvian","name":"CVIAN","full_name":null,"description_markdown":"CVIAN is a cross-view dataset to support geolocalization and disaster mapping with street-view and very high resolution (VHR) satellite imagery in Florida, USA after Hurricane IAN in 2022. CVIAN contains 4,121 pairs of street-view and VHR satellite imagery, which are manually classified into 3 classes (i.e., light, medium, and heavy damage). The VHR satellite imagery was originally provided by the National Oceanic and Atmospheric Administration (NOAA) at a spatial resolution of 30cm per pixel on September 30, 2022. The street-view imagery was collected from the open-source Mapilliary platform, speicifally from a mapping campaign done by Site Tour 360 after Hurricane IAN hit the study area. CVIAN is the first of this kind dataset that can support both cross-view geolocalization and disaster mapping at the same time.","description_withheld":null,"homepage":"https://doi.org/10.14459/2024mp1749324","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["CVIAN"],"data_loaders":[],"num_papers_in_archive":1,"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."}