{"url":"/dataset/rocog-v2","name":"RoCoG-v2","full_name":"Robot Control Gestures","description_markdown":"RoCoG-v2 (Robot Control Gestures) is a dataset intended to support the study of synthetic-to-real and ground-to-air video domain adaptation. It contains over 100K synthetically-generated videos of human avatars performing gestures from seven (7) classes. It also provides videos of real humans performing the same gestures from both ground and air perspectives","description_withheld":null,"homepage":"https://github.com/reddyav1/RoCoG-v2","introduced_date":"2023-03-17","introduced_date_note":null,"introduced_by":{"paper":"/paper/synthetic-to-real-domain-adaptation-for","title":"Synthetic-to-Real Domain Adaptation for Action Recognition: A Dataset and Baseline Performances","first_author":"Arun V. Reddy","url":null},"license":null,"modalities":[{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[{"name":"Action Recognition","url":"/task/action-recognition-in-videos","datasets_with_task":"/datasets/task/action-recognition-in-videos"},{"name":"Domain Adaptation","url":"/task/domain-adaptation","datasets_with_task":"/datasets/task/domain-adaptation"},{"name":"Unsupervised Domain Adaptation","url":"/task/unsupervised-domain-adaptation","datasets_with_task":"/datasets/task/unsupervised-domain-adaptation"},{"name":"Video Domain Adapation","url":"/task/video-domain-adapation","datasets_with_task":"/datasets/task/video-domain-adapation"}],"languages":[],"variants":["RoCoG-v2"],"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/action-recognition-on-rocog-v2","task":"Action Recognition","dataset_variant":"RoCoG-v2","rows":1,"metrics":["Top-1 Accuracy"],"first_row_in_archive_order":{"model":"AZTR (Ours)","paper":"/paper/aztr-aerial-video-action-recognition-with","metrics":{"Top-1 Accuracy":"40.2"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/aztr-aerial-video-action-recognition-with","title":"AZTR: Aerial Video Action Recognition with Auto Zoom and Temporal Reasoning","date":"2023-03-02","rows_on_this_dataset":1,"code_links":0,"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."}