{"url":"/dataset/vqa-ov","name":"VQA-OV","full_name":"Visual Quality Assessment of Omnidirectional Video","description_markdown":"Collects 60 reference sequences and 540 impaired sequences. \r\n\r\nSource: [Bridge the Gap Between VQA and Human Behavior on Omnidirectional Video: A Large-Scale Dataset and a Deep Learning Model](/paper/bridge-the-gap-between-vqa-and-human-behavior)","description_withheld":null,"homepage":"https://github.com/Archer-Tatsu/VQA-ODV","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/bridge-the-gap-between-vqa-and-human-behavior","title":"Bridge the Gap Between VQA and Human Behavior on Omnidirectional Video: A Large-Scale Dataset and a Deep Learning Model","first_author":"Chen Li","url":null},"license":null,"modalities":[],"tasks":[{"name":"Object Detection","url":"/task/object-detection","datasets_with_task":"/datasets/task/object-detection"},{"name":"Visual Question Answering (VQA)","url":"/task/visual-question-answering","datasets_with_task":"/datasets/task/visual-question-answering"},{"name":"Salient Object Detection","url":"/task/salient-object-detection-1","datasets_with_task":"/datasets/task/salient-object-detection-1"}],"languages":[],"variants":["VQA-OV"],"data_loaders":[{"repo":"https://github.com/Archer-Tatsu/VQA-ODV","url":"https://github.com/Archer-Tatsu/VQA-ODV","frameworks":[]}],"num_papers_in_archive":1,"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."}