{"url":"/dataset/gsv-cities","name":"GSV-Cities","full_name":null,"description_markdown":"GSV-Cities is a large-scale dataset for training deep neural network for the task of Visual Place Recognition.\r\n\r\nThe dataset contains more than **530k** images:\r\n\r\n* There are more than **62k** different places, spread across multiple cities around the globe.\r\n* Each place is depited by at least 4 images (up to 20 images).\r\n* All places are physically distant (at least 100 meters between any pair of places).","description_withheld":null,"homepage":"https://www.kaggle.com/datasets/amaralibey/gsv-cities","introduced_date":"2022-10-19","introduced_date_note":null,"introduced_by":{"paper":"/paper/gsv-cities-toward-appropriate-supervised","title":"GSV-Cities: Toward Appropriate Supervised Visual Place Recognition","first_author":"Amar Ali-bey","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Visual Place Recognition","url":"/task/visual-place-recognition","datasets_with_task":"/datasets/task/visual-place-recognition"}],"languages":[],"variants":["GSV-Cities"],"data_loaders":[{"repo":"https://github.com/amaralibey/gsv-cities","url":"https://github.com/amaralibey/gsv-cities","frameworks":["pytorch"]}],"num_papers_in_archive":16,"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."}