{"url":"/dataset/long-video-dataset-3x","name":"Long Video Dataset (3X)","full_name":null,"description_markdown":"We randomly selected three videos from the Internet, that are longer than 1.5K frames and have their main objects continuously appearing. Each video has 20 uniformly sampled frames manually annotated for evaluation. Each video has been played back and forth to generate videos that are three times as long.","description_withheld":null,"homepage":"https://github.com/xmlyqing00/AFB-URR","introduced_date":"2020-10-15","introduced_date_note":null,"introduced_by":{"paper":"/paper/video-object-segmentation-with-adaptive","title":"Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement","first_author":"Yongqing Liang","url":null},"license":null,"modalities":[],"tasks":[{"name":"Semi-Supervised Video Object Segmentation","url":"/task/semi-supervised-video-object-segmentation","datasets_with_task":"/datasets/task/semi-supervised-video-object-segmentation"}],"languages":[],"variants":["Long Video Dataset (3X)"],"data_loaders":[],"num_papers_in_archive":2,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/semi-supervised-video-object-segmentation-on-14","task":"Semi-Supervised Video Object Segmentation","dataset_variant":"Long Video Dataset (3X)","rows":2,"metrics":["J&F","J","F"],"first_row_in_archive_order":{"model":"XMem","paper":"/paper/xmem-long-term-video-object-segmentation-with","metrics":{"F":"91.8±0.4","J":"88.2±0.3","J&F":"90.0±0.4"},"code_links":[{"title":"hkchengrex/XMem","url":"https://github.com/hkchengrex/XMem"},{"title":"tianyuan168326/videosemanticcompression-pytorch","url":"https://github.com/tianyuan168326/videosemanticcompression-pytorch"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/xmem-long-term-video-object-segmentation-with","title":"XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model","date":"2022-07-14","rows_on_this_dataset":1,"code_links":2,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":3,"samples_ran":1,"samples_unverified":2,"pointer_only_for_licence":2,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/video-object-segmentation-with-adaptive","title":"Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement","date":"2020-10-15","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":1,"samples_harvested":3,"samples_ran":1,"samples_unverified":2,"pointer_only_for_licence":2,"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."}