{"url":"/dataset/flyingchairs","name":"FlyingChairs","full_name":null,"description_markdown":"The \"Flying Chairs\" are a synthetic dataset with optical flow ground truth. It consists of 22872 image pairs and corresponding flow fields. Images show renderings of 3D chair models moving in front of random backgrounds from Flickr. Motions of both the chairs and the background are purely planar.","description_withheld":null,"homepage":"https://lmb.informatik.uni-freiburg.de/resources/datasets/FlyingChairs.en.html","introduced_date":"2015-04-26","introduced_date_note":null,"introduced_by":{"paper":"/paper/flownet-learning-optical-flow-with","title":"FlowNet: Learning Optical Flow with Convolutional Networks","first_author":"Philipp Fischer","url":null},"license":{"name":"Custom (research-only, non-commercial)","url":"https://lmb.informatik.uni-freiburg.de/resources/datasets/FlyingChairs.en.html"},"modalities":[],"tasks":[],"languages":[],"variants":["FlyingChairs"],"data_loaders":[],"num_papers_in_archive":191,"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":"2026-09-25T09:33:49+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."}