{"url":"/dataset/sword","name":"SWORD","full_name":"'Scenes with occluded regions' dataset","description_markdown":"The new dataset contains around 1,500 train videos and 290 test videos, with 50 frames per video on average.\r\nThe dataset was obtained after processing the manually captured video sequences of static real-life urban scenes.\r\nThe main property of the dataset is the abundance of close objects and, consequently, the larger prevalence of occlusions.\r\nAccording to the introduced heuristic, the mean area of occluded image parts for SWORD is approximately five times larger than for RealEstate10k data (14% vs 3% respectively).\r\nThis rationalizes the collection and usage of SWORD and explains that SWORD allows training more powerful models despite being of smaller size.","description_withheld":null,"homepage":"https://samsunglabs.github.io/StereoLayers/","introduced_date":"2022-01-13","introduced_date_note":null,"introduced_by":{"paper":"/paper/stereo-magnification-with-multi-layer-images","title":"Stereo Magnification with Multi-Layer Images","first_author":"Taras Khakhulin","url":null},"license":{"name":"CC BY NC 4.0","url":"https://disk.yandex.ru/d/VQldVSTEqepGtA/SWORD/LICENSE"},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Videos","url":"/datasets/modality/videos"},{"name":"3D","url":"/datasets/modality/3d"}],"tasks":[{"name":"Novel View Synthesis","url":"/task/novel-view-synthesis","datasets_with_task":"/datasets/task/novel-view-synthesis"}],"languages":[],"variants":["SWORD"],"data_loaders":[],"num_papers_in_archive":4,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/novel-view-synthesis-on-sword","task":"Novel View Synthesis","dataset_variant":"SWORD","rows":3,"metrics":["LPIPS","PSNR","SSIM"],"first_row_in_archive_order":{"model":"StereoLayers (8 layers)","paper":"/paper/stereo-magnification-with-multi-layer-images","metrics":{"LPIPS":"0.113","PSNR":"25.54","SSIM":"0.79"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/stereo-magnification-with-multi-layer-images","title":"Stereo Magnification with Multi-Layer Images","date":"2022-01-13","rows_on_this_dataset":3,"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."}