{"url":"/dataset/denseuav","name":"DenseUAV","full_name":null,"description_markdown":"DenseUAV is a dataset of drone and satellite perspectives collected from 14 universities in low-altitude urban scenes. The main features include real scene sampling, sampling perspective perpendicular to the ground, and dense sampling. A total of 3033 sampling points, including 9099 drone perspective images and 18198 satellite perspective images.","description_withheld":null,"homepage":"https://github.com/Dmmm1997/DenseUAV","introduced_date":"2023-12-30","introduced_date_note":null,"introduced_by":{"paper":"/paper/vision-based-uav-localization-system-in","title":"Vision-Based UAV Self-Positioning in Low-Altitude Urban Environments","first_author":"Ming Dai","url":null},"license":{"name":"Apache-2.0 license","url":"https://github.com/Dmmm1997/DenseUAV/blob/main/LICENSE"},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"geo-localization","url":"/task/geo-localization","datasets_with_task":"/datasets/task/geo-localization"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["DenseUAV"],"data_loaders":[{"repo":"https://github.com/cvg/gluestick","url":"https://github.com/cvg/gluestick","frameworks":["pytorch"]}],"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."}