{"url":"/dataset/spagbol","name":"SpaGBOL","full_name":"Spatial-Graph-Based Orientated Cross-View Geo-Localisation","description_markdown":"Cross-View Geo-Localisation within urban regions is challenging in part due to the lack of geo-spatial structuring within current datasets and techniques. We propose utilising graph representations to model sequences of local observations and the connectivity of the target location. Modelling as a graph enables generating previously unseen sequences by sampling with new parameter configurations. \r\nSpaGBOL contains 98,855 panoramic streetview images across different seasons, and 19,771 corresponding satellite images from 10 mostly densely populated international cities. This translates to 5 panoramic images and one satellite image per graph node. Downloading instructions below.","description_withheld":null,"homepage":"https://github.com/tavisshore/SpaGBOL","introduced_date":"2025-03-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/spagbol-spatial-graph-based-orientated","title":"SpaGBOL: Spatial-Graph-Based Orientated Localisation","first_author":"Tavis Shore","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Graphs","url":"/datasets/modality/graphs"}],"tasks":[{"name":"Image Retrieval","url":"/task/image-retrieval","datasets_with_task":"/datasets/task/image-retrieval"},{"name":"Visual Place Recognition","url":"/task/visual-place-recognition","datasets_with_task":"/datasets/task/visual-place-recognition"},{"name":"Camera Localization","url":"/task/camera-localization","datasets_with_task":"/datasets/task/camera-localization"},{"name":"Cross-View Geo-Localisation","url":"/task/cross-view-geo-localisation","datasets_with_task":"/datasets/task/cross-view-geo-localisation"},{"name":"Visual Localization","url":"/task/visual-localization","datasets_with_task":"/datasets/task/visual-localization"},{"name":"Image-Based Localization","url":"/task/image-based-localization","datasets_with_task":"/datasets/task/image-based-localization"},{"name":"Outdoor Localization","url":"/task/outdoor-localization","datasets_with_task":"/datasets/task/outdoor-localization"},{"name":"geo-localization","url":"/task/geo-localization","datasets_with_task":"/datasets/task/geo-localization"}],"languages":[],"variants":["SpaGBOL"],"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/cross-view-geo-localisation-on-spagbol","task":"Cross-View Geo-Localisation","dataset_variant":"SpaGBOL","rows":9,"metrics":["Top-1","Top-5","Top-10","Top-1%"],"first_row_in_archive_order":{"model":"SpaGBOL","paper":"/paper/spagbol-spatial-graph-based-orientated","metrics":{"Top-1":"56.48","Top-1%":"87.24","Top-10":"83.85","Top-5":"77.47"},"code_links":[{"title":"tavisshore/SpaGBOL","url":"https://github.com/tavisshore/SpaGBOL"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/spagbol-spatial-graph-based-orientated","title":"SpaGBOL: Spatial-Graph-Based Orientated Localisation","date":"2024-09-23","rows_on_this_dataset":8,"code_links":1,"syntology":null},{"paper":"/paper/sample4geo-hard-negative-sampling-for-cross","title":"Sample4Geo: Hard Negative Sampling For Cross-View Geo-Localisation","date":"2023-03-21","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":1,"samples_ran":1,"samples_unverified":0,"pointer_only_for_licence":1,"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":1,"samples_harvested":1,"samples_ran":1,"samples_unverified":0,"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."}