{"url":"/dataset/dgta-seadronessee","name":"DGTA-SeaDronesSee","full_name":"DeepGTAV-SeaDronesSee","description_markdown":"Object Detection data set created from the engine DeepGTAV, which is based on the video game GTAV. Part of the three data sets proposed in the paper. This data set is motivated from the SeaDronesSee dataset with almost the same classes.","description_withheld":null,"homepage":"https://github.com/Eisbaer8/DeepGTAV","introduced_date":"2021-12-22","introduced_date_note":null,"introduced_by":{"paper":"/paper/leveraging-synthetic-data-in-object-detection","title":"Leveraging Synthetic Data in Object Detection on Unmanned Aerial Vehicles","first_author":"Benjamin Kiefer","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Object Detection","url":"/task/object-detection","datasets_with_task":"/datasets/task/object-detection"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["DGTA-SeaDronesSee"],"data_loaders":[],"num_papers_in_archive":2,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"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."}