{"url":"/dataset/high-altitude-georefeferenced-uav-images","name":"High Altitude Georeferenced UAV Images","full_name":null,"description_markdown":"The dataset contains 179 photographs taken by a UAV flying at 120 meters altitude. The photographs are high resolution  georeferenced (altitude and lontitude) orthoimages.  It was originally used for developing a visual-based localization algorithm for UAVs. The dataset could be used for training machine learning models for localization purposes or building maps.","description_withheld":null,"homepage":"https://github.com/TIERS/wildnav","introduced_date":"2022-10-18","introduced_date_note":null,"introduced_by":{"paper":"/paper/vision-based-gnss-free-localization-for-uavs","title":"Vision-based GNSS-Free Localization for UAVs in the Wild","first_author":null,"url":null},"license":{"name":"GPL-3.0","url":"https://www.gnu.org/licenses/gpl-3.0.txt"},"modalities":[],"tasks":[],"languages":[],"variants":["High Altitude Georeferenced UAV Images"],"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":"2026-09-25T09:33:49+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."}