{"url":"/dataset/omniflow","name":"OmniFlow","full_name":null,"description_markdown":"**OmniFlow** is a synthetic omnidirectional human optical flow dataset. Based on a rendering engine the authors created a naturalistic 3D indoor environment with textured rooms, characters, actions, objects, illumination and motion blur where all components of the environment are shuffled during the data capturing process. The simulation has as output rendered images of household activities and the corresponding forward and backward optical flow. The dataset consists of 23,653 image pairs and corresponding forward and backward optical flow.","description_withheld":null,"homepage":"https://www.tu-chemnitz.de/etit/dst/forschung/comp_vision/datasets/omniflow/","introduced_date":"2021-04-16","introduced_date_note":null,"introduced_by":{"paper":"/paper/omniflow-human-omnidirectional-optical-flow","title":"OmniFlow: Human Omnidirectional Optical Flow","first_author":"Roman Seidel","url":null},"license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Optical Flow Estimation","url":"/task/optical-flow-estimation","datasets_with_task":"/datasets/task/optical-flow-estimation"}],"languages":[],"variants":["OmniFlow"],"data_loaders":[],"num_papers_in_archive":6,"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."}