{"url":"/dataset/oxford5k","name":"Oxford5k","full_name":"Oxford Buildings","description_markdown":"Oxford5K is the **Oxford Buildings** Dataset, which contains 5062 images collected from Flickr. It offers a set of 55 queries for 11 landmark buildings, five for each landmark.\r\n\r\nSource: [Unsupervised Adversarial Attacks on Deep Feature-based Retrieval with GAN 1 Corresponding Author](https://arxiv.org/abs/1907.05793)\r\nImage Source: [https://www.robots.ox.ac.uk/~vgg/data/oxbuildings/](https://www.robots.ox.ac.uk/~vgg/data/oxbuildings/)","description_withheld":null,"homepage":"https://www.robots.ox.ac.uk/~vgg/data/oxbuildings/","introduced_date":"2007-01-01","introduced_date_note":null,"introduced_by":{"paper":null,"title":"Object retrieval with large vocabularies and fast spatial matching","first_author":null,"url":"https://doi.org/10.1109/CVPR.2007.383172"},"license":{"name":"Custom","url":"https://www.robots.ox.ac.uk/~vgg/data/oxbuildings/"},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Image Classification","url":"/task/image-classification","datasets_with_task":"/datasets/task/image-classification"},{"name":"Image Retrieval","url":"/task/image-retrieval","datasets_with_task":"/datasets/task/image-retrieval"},{"name":"Content-Based Image Retrieval","url":"/task/content-based-image-retrieval","datasets_with_task":"/datasets/task/content-based-image-retrieval"}],"languages":[],"variants":["Oxford5k"],"data_loaders":[],"num_papers_in_archive":137,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/image-retrieval-on-oxford5k","task":"Image Retrieval","dataset_variant":"Oxford5k","rows":2,"metrics":["mAP"],"first_row_in_archive_order":{"model":"GNN-Reranking","paper":"/paper/understanding-image-retrieval-re-ranking-a","metrics":{"mAP":"92.95"},"code_links":[{"title":"Xuanmeng-Zhang/gnn-re-ranking","url":"https://github.com/Xuanmeng-Zhang/gnn-re-ranking"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"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/a-discriminatively-learned-cnn-embedding-for","title":"A Discriminatively Learned CNN Embedding for Person Re-identification","date":"2016-11-17","rows_on_this_dataset":1,"code_links":4,"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."}