{"url":"/dataset/sf-xl-test-v2","name":"SF-XL test v2","full_name":"San Francisco eXtra Large test v2","description_markdown":"Test set version 2 for the San Francisco eXtra Large dataset","description_withheld":null,"homepage":"","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[],"tasks":[{"name":"Visual Place Recognition","url":"/task/visual-place-recognition","datasets_with_task":"/datasets/task/visual-place-recognition"}],"languages":[],"variants":["SF-XL test v2"],"data_loaders":[],"num_papers_in_archive":6,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/visual-place-recognition-on-sf-xl-test-v2","task":"Visual Place Recognition","dataset_variant":"SF-XL test v2","rows":5,"metrics":["Recall@1","Recall@5","Recall@10"],"first_row_in_archive_order":{"model":"QAA-DINOv2-B-8192","paper":"/paper/query-based-adaptive-aggregation-for-multi","metrics":{"Recall@1":"94.6"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/query-based-adaptive-aggregation-for-multi","title":"Query-Based Adaptive Aggregation for Multi-Dataset Joint Training Toward Universal Visual Place Recognition","date":"2025-07-04","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/progeo-generating-prompts-through-image-text","title":"ProGEO: Generating Prompts through Image-Text Contrastive Learning for Visual Geo-localization","date":"2024-06-04","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"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/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":"2026-09-24T18:15:14+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."}},{"paper":"/paper/rethinking-visual-geo-localization-for-large","title":"Rethinking Visual Geo-localization for Large-Scale Applications","date":"2022-04-05","rows_on_this_dataset":1,"code_links":2,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":10,"samples_ran":6,"samples_unverified":4,"pointer_only_for_licence":2,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":2,"samples_harvested":23,"samples_ran":17,"samples_unverified":6,"pointer_only_for_licence":3,"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."}