{"url":"/dataset/flat","name":"FLAT","full_name":null,"description_markdown":"FLAT, a synthetic dataset of 2000 ToF measurements that capture all of these nonidealities, and can be used to simulate different hardware","description_withheld":null,"homepage":"https://research.nvidia.com/publication/2018-09_tackling-3d-tof-artifacts-through-learning-and-flat-dataset","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/tackling-3d-tof-artifacts-through-learning","title":"Tackling 3D ToF Artifacts Through Learning and the FLAT Dataset","first_author":"Qi Guo","url":null},"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["FLAT"],"data_loaders":[],"num_papers_in_archive":7,"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."}