{"url":"/dataset/google-landmarks-dataset-v2","name":"Google Landmarks Dataset v2","full_name":null,"description_markdown":"This is the second version of the Google Landmarks dataset (GLDv2), which contains images annotated with labels representing human-made and natural landmarks. The dataset can be used for landmark recognition and retrieval experiments. This version of the dataset contains approximately 5 million images, split into 3 sets of images: train, index and test\n\nSource: [https://github.com/cvdfoundation/google-landmark](https://github.com/cvdfoundation/google-landmark)\nImage Source: [https://github.com/cvdfoundation/google-landmark](https://github.com/cvdfoundation/google-landmark)","description_withheld":null,"homepage":"https://github.com/cvdfoundation/google-landmark","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/google-landmarks-dataset-v2-a-large-scale","title":"Google Landmarks Dataset v2 -- A Large-Scale Benchmark for Instance-Level Recognition and Retrieval","first_author":"Tobias Weyand","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Image Retrieval","url":"/task/image-retrieval","datasets_with_task":"/datasets/task/image-retrieval"},{"name":"Metric Learning","url":"/task/metric-learning","datasets_with_task":"/datasets/task/metric-learning"},{"name":"Landmark Recognition","url":"/task/landmark-recognition","datasets_with_task":"/datasets/task/landmark-recognition"}],"languages":[],"variants":["Google Landmarks Dataset v2 (recognition, validation)","Google Landmarks Dataset v2 (recognition, testing)","Google Landmarks Dataset v2 (retrieval, testing)","Google Landmarks Dataset v2 (retrieval, validation)","Google Landmarks Dataset v2"],"data_loaders":[{"repo":"https://github.com/cvdfoundation/google-landmark","url":"https://github.com/cvdfoundation/google-landmark","frameworks":["tf"]}],"num_papers_in_archive":35,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/image-retrieval-on-google-landmarks-dataset","task":"Image Retrieval","dataset_variant":"Google Landmarks Dataset v2 (retrieval, testing)","rows":4,"metrics":["mAP@100"],"first_row_in_archive_order":{"model":"AMES","paper":"/paper/2408-03282","metrics":{"mAP@100":"37.8"},"code_links":[{"title":"pavelsuma/ames","url":"https://github.com/pavelsuma/ames"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/image-retrieval-on-google-landmarks-dataset-1","task":"Image Retrieval","dataset_variant":"Google Landmarks Dataset v2 (retrieval, validation)","rows":3,"metrics":["mAP@100"],"first_row_in_archive_order":{"model":"UNICOM-ViT-L-14-512px","paper":"/paper/unicom-universal-and-compact-representation","metrics":{"mAP@100":"33.1"},"code_links":[{"title":"OML-Team/open-metric-learning","url":"https://github.com/OML-Team/open-metric-learning"},{"title":"deepglint/unicom","url":"https://github.com/deepglint/unicom"},{"title":"RocketFlash/easy_metric_learning","url":"https://github.com/RocketFlash/easy_metric_learning/tree/master/tools"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/landmark-recognition-on-google-landmarks","task":"Landmark Recognition","dataset_variant":"Google Landmarks Dataset v2 (recognition, validation)","rows":1,"metrics":["microAP"],"first_row_in_archive_order":{"model":"DELG global+SP","paper":"/paper/google-landmarks-dataset-v2-a-large-scale","metrics":{"microAP":"55.01"},"code_links":[{"title":"tensorflow/models","url":"https://github.com/tensorflow/models/tree/master/research/delf"},{"title":"cvdfoundation/google-landmark","url":"https://github.com/cvdfoundation/google-landmark"},{"title":"csiro-robotics/Pair-VPR","url":"https://github.com/csiro-robotics/Pair-VPR"},{"title":"Shiro-LK/python-DOLG","url":"https://github.com/Shiro-LK/python-DOLG"},{"title":"Ash-Lee233/delf","url":"https://github.com/Ash-Lee233/delf"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/landmark-recognition-on-google-landmarks-1","task":"Landmark Recognition","dataset_variant":"Google Landmarks Dataset v2 (recognition, testing)","rows":1,"metrics":["microAP"],"first_row_in_archive_order":{"model":"DELG global+SP","paper":"/paper/google-landmarks-dataset-v2-a-large-scale","metrics":{"microAP":"56.35"},"code_links":[{"title":"tensorflow/models","url":"https://github.com/tensorflow/models/tree/master/research/delf"},{"title":"cvdfoundation/google-landmark","url":"https://github.com/cvdfoundation/google-landmark"},{"title":"csiro-robotics/Pair-VPR","url":"https://github.com/csiro-robotics/Pair-VPR"},{"title":"Shiro-LK/python-DOLG","url":"https://github.com/Shiro-LK/python-DOLG"},{"title":"Ash-Lee233/delf","url":"https://github.com/Ash-Lee233/delf"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/2408-03282","title":"AMES: Asymmetric and Memory-Efficient Similarity Estimation for Instance-level Retrieval","date":"2024-08-06","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":13,"samples_ran":13,"samples_unverified":0,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/unicom-universal-and-compact-representation","title":"Unicom: Universal and Compact Representation Learning for Image Retrieval","date":"2023-04-12","rows_on_this_dataset":4,"code_links":3,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":6,"samples_ran":3,"samples_unverified":3,"pointer_only_for_licence":6,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/google-landmarks-dataset-v2-a-large-scale","title":"Google Landmarks Dataset v2 -- A Large-Scale Benchmark for Instance-Level Recognition and Retrieval","date":"2020-04-03","rows_on_this_dataset":4,"code_links":5,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":2,"samples_harvested":19,"samples_ran":16,"samples_unverified":3,"pointer_only_for_licence":6,"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."}