{"url":"/dataset/san-francisco-landmark-dataset","name":"San Francisco Landmark Dataset","full_name":null,"description_markdown":"The San Francisco Landmark Dataset contains a database of 1.7 million images of buildings in San Francisco with ground truth labels, geotags, and calibration data, as well as a difficult query set of 803 cell phone images taken with a variety of different camera phones. The data is originally acquired by vehicle-mounted cameras with wide-angle lenses capturing spherical panoramic images. For all visible buildings in each panorama, a set of overlapping perspective images is generated.\r\n\r\nPaper: [D. Chen, G. Baatz, K. Koeser, S. Tsai, R. Vedantham, T. Pylvanainen, K. Roimela, X. Chen, J. Bach, M. Pollefeys, B. Girod, and R. Grzeszczuk, \"City-scale landmark identification on mobile devices\", IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2011.](https://ieeexplore.ieee.org/document/5995610)","description_withheld":null,"homepage":"https://sites.google.com/site/chenmodavid/datasets","introduced_date":null,"introduced_date_note":null,"introduced_by":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":["San Francisco Landmark Dataset"],"data_loaders":[],"num_papers_in_archive":3,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/visual-place-recognition-on-san-francisco","task":"Visual Place Recognition","dataset_variant":"San Francisco Landmark Dataset","rows":3,"metrics":["Recall@1","Recall@10","Recall@5"],"first_row_in_archive_order":{"model":"BoQ","paper":"/paper/boq-a-place-is-worth-a-bag-of-learnable","metrics":{"Recall@1":"93.6","Recall@10":"96.5","Recall@5":"95.8"},"code_links":[{"title":"amaralibey/bag-of-queries","url":"https://github.com/amaralibey/bag-of-queries"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/effovpr-effective-foundation-model","title":"EffoVPR: Effective Foundation Model Utilization for Visual Place Recognition","date":"2024-05-28","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/boq-a-place-is-worth-a-bag-of-learnable","title":"BoQ: A Place is Worth a Bag of Learnable Queries","date":"2024-05-12","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-25T09:33:49+00:00","samples_harvested":2,"samples_ran":2,"samples_unverified":0,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/eigenplaces-training-viewpoint-robust-models","title":"EigenPlaces: Training Viewpoint Robust Models for Visual Place Recognition","date":"2023-08-21","rows_on_this_dataset":1,"code_links":4,"syntology":{"read_at":"2026-09-25T09:33:49+00:00","samples_harvested":13,"samples_ran":11,"samples_unverified":2,"pointer_only_for_licence":1,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}}],"syntology_totals":{"read_at":"2026-09-25T09:33:49+00:00","papers_with_samples":2,"samples_harvested":15,"samples_ran":13,"samples_unverified":2,"pointer_only_for_licence":1,"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."}