{"url":"/dataset/imc-phototourism","name":"IMC PhotoTourism","full_name":"Image Matching Challenge Phototourism","description_markdown":"Dataset provided by the Image Matching Workshop\r\n\r\nhttps://www.cs.ubc.ca/research/image-matching-challenge/current/","description_withheld":null,"homepage":"https://www.cs.ubc.ca/research/image-matching-challenge/current/","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Image Matching","url":"/task/image-matching","datasets_with_task":"/datasets/task/image-matching"},{"name":"Stereo Matching","url":"/task/stereo-matching-1","datasets_with_task":"/datasets/task/stereo-matching-1"}],"languages":[],"variants":["IMC PhotoTourism"],"data_loaders":[],"num_papers_in_archive":14,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/image-matching-on-imc-phototourism","task":"Image Matching","dataset_variant":"IMC PhotoTourism","rows":8,"metrics":["mean average accuracy @ 10"],"first_row_in_archive_order":{"model":"Harris Corner","paper":"/paper/harrisz-harris-corner-selection-for-next-gen","metrics":{"mean average accuracy @ 10":"0.65606"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/harrisz-harris-corner-selection-for-next-gen","title":"HarrisZ$^+$: Harris Corner Selection for Next-Gen Image Matching Pipelines","date":"2021-09-27","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/disk-learning-local-features-with-policy","title":"DISK: Learning local features with policy gradient","date":"2020-06-24","rows_on_this_dataset":1,"code_links":2,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":9,"samples_ran":8,"samples_unverified":1,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"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},{"paper":"/paper/superglue-learning-feature-matching-with","title":"SuperGlue: Learning Feature Matching with Graph Neural Networks","date":"2019-11-26","rows_on_this_dataset":1,"code_links":19,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":22,"samples_ran":6,"samples_unverified":16,"pointer_only_for_licence":6,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/190503561","title":"D2-Net: A Trainable CNN for Joint Detection and Description of Local Features","date":"2019-05-09","rows_on_this_dataset":1,"code_links":4,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":13,"samples_ran":1,"samples_unverified":12,"pointer_only_for_licence":1,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/keynet-keypoint-detection-by-handcrafted-and","title":"Key.Net: Keypoint Detection by Handcrafted and Learned CNN Filters","date":"2019-04-01","rows_on_this_dataset":1,"code_links":3,"syntology":null},{"paper":"/paper/repeatability-is-not-enough-learning-affine","title":"Repeatability Is Not Enough: Learning Affine Regions via Discriminability","date":"2017-11-17","rows_on_this_dataset":1,"code_links":3,"syntology":null},{"paper":"/paper/three-things-everyone-should-know-to-improve","title":"Three things everyone should know to improve object retrieval","date":"2012-06-16","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":3,"samples_harvested":44,"samples_ran":15,"samples_unverified":29,"pointer_only_for_licence":7,"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."}