{"url":"/dataset/gmvd","name":"GMVD","full_name":"Generalized Multi-View Detection Dataset","description_markdown":"The GMVD dataset consists of synthetic scenes captured using the GTA-V and Unity graphics engines. The dataset covers a variety of scenes, along with different conditions including day time variations (morning, afternoon, evening, night) and weather variations (sunny, cloudy, rainy, snowy). The purpose of the dataset is twofold. The first is to benchmark the generalization capabilities of Multi-View Detection algorithms. The second purpose is to serve as a synthetic training source from which the trained models can be directly applied on real-world data.","description_withheld":null,"homepage":"https://github.com/jeetv/GMVD_dataset","introduced_date":"2021-09-24","introduced_date_note":null,"introduced_by":{"paper":"/paper/bringing-generalization-to-deep-multi-view","title":"Bringing Generalization to Deep Multi-View Pedestrian Detection","first_author":"Jeet Vora","url":null},"license":{"name":"CC BY-NC 4.0","url":"https://creativecommons.org/licenses/by-nc/4.0/"},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Multiview Detection","url":"/task/multiview-detection","datasets_with_task":"/datasets/task/multiview-detection"}],"languages":[],"variants":["GMVD"],"data_loaders":[],"num_papers_in_archive":5,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/multiview-detection-on-gmvd","task":"Multiview Detection","dataset_variant":"GMVD","rows":2,"metrics":["MODA","Recall"],"first_row_in_archive_order":{"model":"MVFP","paper":"/paper/enhancing-multi-view-pedestrian-detection","metrics":{"MODA":"73.3","Recall":"79.2"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/enhancing-multi-view-pedestrian-detection","title":"Enhancing Multi-View Pedestrian Detection Through Generalized 3D Feature Pulling","date":"2023-12-20","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/bringing-generalization-to-deep-multi-view","title":"Bringing Generalization to Deep Multi-View Pedestrian Detection","date":"2021-09-24","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."}