{"url":"/dataset/university-1652","name":"University-1652","full_name":null,"description_markdown":"Contains data from three platforms, i.e., synthetic drones, satellites and ground cameras of 1,652 university buildings around the world. University-1652 is a drone-based geo-localization dataset and enables two new tasks, i.e., drone-view target localization and drone navigation. \r\n\r\nSource: [University-1652: A Multi-view Multi-source Benchmark for Drone-based Geo-localization](/paper/university-1652-a-multi-view-multi-source)","description_withheld":null,"homepage":"https://github.com/layumi/University1652-Baseline","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/university-1652-a-multi-view-multi-source","title":"University-1652: A Multi-view Multi-source Benchmark for Drone-based Geo-localization","first_author":"Zhedong Zheng","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Image-Based Localization","url":"/task/image-based-localization","datasets_with_task":"/datasets/task/image-based-localization"},{"name":"Drone-view target localization","url":"/task/drone-view-target-localization","datasets_with_task":"/datasets/task/drone-view-target-localization"},{"name":"Drone navigation","url":"/task/drone-navigation","datasets_with_task":"/datasets/task/drone-navigation"},{"name":"geo-localization","url":"/task/geo-localization","datasets_with_task":"/datasets/task/geo-localization"}],"languages":[{"name":"English","url":"/datasets/language/english"},{"name":"Chinese","url":"/datasets/language/chinese"}],"variants":["University-1652"],"data_loaders":[{"repo":"https://github.com/layumi/University1652-Baseline","url":"https://github.com/layumi/University1652-Baseline","frameworks":["pytorch"]}],"num_papers_in_archive":19,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/drone-view-target-localization-on-university-1","task":"Drone-view target localization","dataset_variant":"University-1652","rows":11,"metrics":["AP","Recall@1"],"first_row_in_archive_order":{"model":"Orientation-Guided Sample4Geo","paper":"/paper/orientation-guided-contrastive-learning-for","metrics":{"AP":"96.88","Recall@1":"96.13"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/drone-navigation-on-university-1652-1","task":"Drone navigation","dataset_variant":"University-1652","rows":6,"metrics":["AP","Recall@1"],"first_row_in_archive_order":{"model":"FSRA","paper":"/paper/a-transformer-based-feature-segmentation-and","metrics":{"AP":"81.53","Recall@1":"87.87"},"code_links":[{"title":"dmmm1997/fsra","url":"https://github.com/dmmm1997/fsra"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/cv-cities-advancing-cross-view-geo","title":"CV-Cities: Advancing Cross-View Geo-Localization in Global Cities","date":"2024-11-19","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":9,"samples_ran":0,"samples_unverified":9,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/a-novel-geo-localization-method-for-uav-and","title":"A Novel Geo-Localization Method for UAV and Satellite Images Using Cross-View Consistent Attention","date":"2023-09-23","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/orientation-guided-contrastive-learning-for","title":"Orientation-Guided Contrastive Learning for UAV-View Geo-Localisation","date":"2023-08-02","rows_on_this_dataset":1,"code_links":0,"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."}},{"paper":"/paper/joint-representation-learning-and-keypoint","title":"Joint Representation Learning and Keypoint Detection for Cross-view Geo-localization","date":"2022-05-15","rows_on_this_dataset":6,"code_links":1,"syntology":null},{"paper":"/paper/a-transformer-based-feature-segmentation-and","title":"A Transformer-Based Feature Segmentation and Region Alignment Method For UAV-View Geo-Localization","date":"2022-01-23","rows_on_this_dataset":2,"code_links":1,"syntology":null},{"paper":"/paper/understanding-image-retrieval-re-ranking-a","title":"Understanding Image Retrieval Re-Ranking: A Graph Neural Network Perspective","date":"2020-12-14","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/each-part-matters-local-patterns-facilitate","title":"Each Part Matters: Local Patterns Facilitate Cross-view Geo-localization","date":"2020-08-26","rows_on_this_dataset":2,"code_links":1,"syntology":null},{"paper":"/paper/university-1652-a-multi-view-multi-source","title":"University-1652: A Multi-view Multi-source Benchmark for Drone-based Geo-localization","date":"2020-02-27","rows_on_this_dataset":2,"code_links":3,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":15,"samples_ran":1,"samples_unverified":14,"pointer_only_for_licence":0,"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":3,"samples_harvested":25,"samples_ran":2,"samples_unverified":23,"pointer_only_for_licence":1,"papers_with_no_sample_that_ran":1,"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."}