{"url":"/dataset/aachen-day-night","name":"Aachen Day-Night","full_name":null,"description_markdown":"**Aachen Day-Night** is a dataset designed for benchmarking 6DOF outdoor visual localization in changing conditions. It focuses on localizing high-quality night-time images against a day-time 3D model. There are 14,607 images with changing conditions of weather, season and day-night cycles.\r\n\r\nSource: [Benchmarking 6DOF Outdoor Visual Localization in Changing Conditions](/paper/benchmarking-6dof-outdoor-visual-localization)","description_withheld":null,"homepage":"http://visuallocalization.net","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/benchmarking-6dof-outdoor-visual-localization","title":"Benchmarking 6DOF Outdoor Visual Localization in Changing Conditions","first_author":"Torsten Sattler","url":null},"license":{"name":"CC BY-NC-SA 4.0","url":"https://creativecommons.org/licenses/by-nc-sa/4.0/"},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"3D","url":"/datasets/modality/3d"}],"tasks":[{"name":"Pose Estimation","url":"/task/pose-estimation","datasets_with_task":"/datasets/task/pose-estimation"},{"name":"Camera Localization","url":"/task/camera-localization","datasets_with_task":"/datasets/task/camera-localization"},{"name":"Visual Localization","url":"/task/visual-localization","datasets_with_task":"/datasets/task/visual-localization"}],"languages":[],"variants":["Aachen Day-Night benchmark","Aachen Day-Night"],"data_loaders":[],"num_papers_in_archive":93,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/camera-localization-on-aachen-day-night-1","task":"Camera Localization","dataset_variant":"Aachen Day-Night benchmark","rows":2,"metrics":["Acc @ 0.5m, 2°","Acc @ 1m, 5°","Acc @ 5m, 10°"],"first_row_in_archive_order":{"model":"PoSFeat","paper":"/paper/decoupling-makes-weakly-supervised-local","metrics":{"Acc @ 0.5m, 2°":"81.6","Acc @ 1m, 5°":"90.8","Acc @ 5m, 10°":"100"},"code_links":[{"title":"The-Learning-And-Vision-Atelier-LAVA/PoSFeat","url":"https://github.com/The-Learning-And-Vision-Atelier-LAVA/PoSFeat"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/decoupling-makes-weakly-supervised-local","title":"Decoupling Makes Weakly Supervised Local Feature Better","date":"2022-01-08","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/r2d2-reliable-and-repeatable-detector-and","title":"R2D2: Reliable and Repeatable Detector and Descriptor","date":"2019-12-01","rows_on_this_dataset":1,"code_links":2,"syntology":null}],"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."}