{"url":"/dataset/paris6k","name":"Paris6k","full_name":null,"description_markdown":"Click to add a brief description of the dataset (Markdown and LaTeX enabled).\r\n\r\nProvide:\r\n\r\n* a high-level explanation of the dataset characteristics\r\n* explain motivations and summary of its content\r\n* potential use cases of the dataset","description_withheld":null,"homepage":"","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[],"tasks":[{"name":"Image Retrieval","url":"/task/image-retrieval","datasets_with_task":"/datasets/task/image-retrieval"}],"languages":[],"variants":[],"data_loaders":[],"num_papers_in_archive":6,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/image-retrieval-on-paris6k","task":"Image Retrieval","dataset_variant":"Paris6k","rows":2,"metrics":["mAP"],"first_row_in_archive_order":{"model":"IME layer","paper":"/paper/iterative-manifold-embedding-layer-learned-by","metrics":{"mAP":"96.6"},"code_links":[{"title":"XJhaoren/IME_layer","url":"https://github.com/XJhaoren/IME_layer"}]},"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/iterative-manifold-embedding-layer-learned-by","title":"Iterative Manifold Embedding Layer Learned by Incomplete Data for Large-scale Image Retrieval","date":"2017-07-14","rows_on_this_dataset":1,"code_links":1,"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."}