{"url":"/dataset/regdb","name":"RegDB","full_name":"Dongguk Body-based Person Recognition Database (DBPerson-Recog-DB1)","description_markdown":"RegDB is used for Visible-Infrared Re-ID which handles the cross-modality matching between the daytime visible and night-time infrared images. The dataset contains images of 412 people. It includes 10 color and 10 thermal images for each person.\r\n\r\nSource: [Person Recognition System Based on a Combination of Body Images from Visible Light and Thermal Cameras](https://www.mdpi.com/1424-8220/17/3/605)","description_withheld":null,"homepage":"http://dm.dongguk.edu/link.html","introduced_date":"2020-01-13","introduced_date_note":null,"introduced_by":{"paper":"/paper/deep-learning-for-person-re-identification-a","title":"Deep Learning for Person Re-identification: A Survey and Outlook","first_author":"Mang Ye","url":null},"license":null,"modalities":[],"tasks":[{"name":"Person Re-Identification","url":"/task/person-re-identification","datasets_with_task":"/datasets/task/person-re-identification"},{"name":"Cross-Modal  Person Re-Identification","url":"/task/cross-view-person-re-identification","datasets_with_task":"/datasets/task/cross-view-person-re-identification"},{"name":"Cross-Modality Person Re-identification","url":"/task/cross-modality-person-re-identification","datasets_with_task":"/datasets/task/cross-modality-person-re-identification"}],"languages":[],"variants":["RegDB"],"data_loaders":[{"repo":"https://github.com/sunpeil/reid","url":"https://github.com/sunpeil/reid","frameworks":["pytorch"]}],"num_papers_in_archive":69,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/cross-modal-person-re-identification-on-regdb","task":"Cross-Modal  Person Re-Identification","dataset_variant":"RegDB","rows":2,"metrics":["rank1(V2T)","mAP(V2T)"],"first_row_in_archive_order":{"model":"Hetero-center-triplet-loss","paper":"/paper/parameters-sharing-exploration-and-hetero","metrics":{"mAP(V2T)":"83.28","rank1(V2T)":"91.05"},"code_links":[{"title":"hijune6/Hetero-center-triplet-loss-for-VT-Re-ID","url":"https://github.com/hijune6/Hetero-center-triplet-loss-for-VT-Re-ID"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/person-re-identification-on-regdb","task":"Person Re-Identification","dataset_variant":"RegDB","rows":1,"metrics":[" Rank-1"],"first_row_in_archive_order":{"model":"CM-LSP-GE","paper":"/paper/cross-modal-local-shortest-path-and-global","metrics":{" Rank-1":"94.13"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/cross-modal-local-shortest-path-and-global","title":"Cross-modal Local Shortest Path and Global Enhancement for Visible-Thermal Person Re-Identification","date":"2022-06-09","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/strong-but-simple-baseline-with-dual","title":"Strong but Simple Baseline with Dual-Granularity Triplet Loss for Visible-Thermal Person Re-Identification","date":"2020-12-09","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/parameters-sharing-exploration-and-hetero","title":"Parameter Sharing Exploration and Hetero-Center based Triplet Loss for Visible-Thermal Person Re-Identification","date":"2020-08-14","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."}