{"url":"/dataset/zeb","name":"ZEB","full_name":"Zero-shot Evaluation Benchmark","description_markdown":"A evaluation benchmark ZEB for image matching by merging 8 real-world datasets and 4 simulated datasets with diverse image resolutions, scene conditions and\r\nview points.","description_withheld":null,"homepage":"https://github.com/xuelunshen/gim#-zeb-zero-shot-evaluation-benchmark","introduced_date":"2024-02-16","introduced_date_note":null,"introduced_by":{"paper":"/paper/gim-learning-generalizable-image-matcher-from","title":"GIM: Learning Generalizable Image Matcher From Internet Videos","first_author":"Xuelun Shen","url":null},"license":{"name":"MIT","url":"https://github.com/xuelunshen/gim?tab=MIT-1-ov-file"},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Image Matching","url":"/task/image-matching","datasets_with_task":"/datasets/task/image-matching"},{"name":"Keypoint detection and image matching","url":"/task/keypoint-detection-and-image-matching","datasets_with_task":"/datasets/task/keypoint-detection-and-image-matching"}],"languages":[{"name":"English","url":"/datasets/language/english"},{"name":"Chinese","url":"/datasets/language/chinese"}],"variants":["ZEB"],"data_loaders":[{"repo":"https://github.com/xuelunshen/gim","url":"https://github.com/xuelunshen/gim","frameworks":["pytorch"]}],"num_papers_in_archive":8,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/image-matching-on-zeb","task":"Image Matching","dataset_variant":"ZEB","rows":10,"metrics":["Mean AUC@5°"],"first_row_in_archive_order":{"model":"GIM-RoMa","paper":"/paper/gim-learning-generalizable-image-matcher-from","metrics":{"Mean AUC@5°":"53.3"},"code_links":[{"title":"xuelunshen/gim","url":"https://github.com/xuelunshen/gim"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/gim-learning-generalizable-image-matcher-from","title":"GIM: Learning Generalizable Image Matcher From Internet Videos","date":"2024-02-16","rows_on_this_dataset":4,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":17,"samples_ran":12,"samples_unverified":5,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/lightglue-local-feature-matching-at-light","title":"LightGlue: Local Feature Matching at Light Speed","date":"2023-06-23","rows_on_this_dataset":1,"code_links":2,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":40,"samples_ran":18,"samples_unverified":22,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/roma-revisiting-robust-losses-for-dense","title":"RoMa: Robust Dense Feature Matching","date":"2023-05-24","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":2,"samples_ran":0,"samples_unverified":2,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/deep-kernelized-dense-geometric-matching","title":"DKM: Dense Kernelized Feature Matching for Geometry Estimation","date":"2022-02-01","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/loftr-detector-free-local-feature-matching","title":"LoFTR: Detector-Free Local Feature Matching with Transformers","date":"2021-04-01","rows_on_this_dataset":1,"code_links":4,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":16,"samples_ran":14,"samples_unverified":2,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"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/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":5,"samples_harvested":97,"samples_ran":50,"samples_unverified":47,"pointer_only_for_licence":6,"papers_with_no_sample_that_ran":1,"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."}