{"url":"/dataset/sf-xl","name":"SF-XL","full_name":"San Francisco eXtra Large","description_markdown":"Large scale dataset for visual geo-localization / visual place recognition.\r\nIt provides images from the city of San Francisco, labeled with GPS coordinates and heading.","description_withheld":null,"homepage":"","introduced_date":"2022-04-05","introduced_date_note":null,"introduced_by":{"paper":"/paper/rethinking-visual-geo-localization-for-large","title":"Rethinking Visual Geo-localization for Large-Scale Applications","first_author":"Gabriele Berton","url":null},"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["SF-XL"],"data_loaders":[],"num_papers_in_archive":20,"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."}