{"url":"/dataset/videomatte240k","name":"VideoMatte240K","full_name":null,"description_markdown":"VideoMatte240K consists of 484 high-resolution green screen videos and generate a total of 240,709 unique frames of alpha mattes and foregrounds with chroma-key software Adobe After Effects. The videos are purchased as stock footage or found as royalty-free materials online. 384 videos are at 4K resolution and 100 are in HD. The videos are split by 479 : 5 to form the train and validation sets. The dataset consists of a vast amount of human subjects, clothing, and poses that are helpful for training robust models.\r\n\r\nImage source: [https://arxiv.org/pdf/2012.07810v1.pdf](https://arxiv.org/pdf/2012.07810v1.pdf)","description_withheld":null,"homepage":"https://grail.cs.washington.edu/projects/background-matting-v2/#/datasets","introduced_date":"2020-12-14","introduced_date_note":null,"introduced_by":{"paper":"/paper/real-time-high-resolution-background-matting","title":"Real-Time High-Resolution Background Matting","first_author":"Shanchuan Lin","url":null},"license":{"name":"Custom","url":"https://grail.cs.washington.edu/projects/background-matting-v2/#/datasets"},"modalities":[{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[{"name":"Video Matting","url":"/task/video-matting","datasets_with_task":"/datasets/task/video-matting"}],"languages":[],"variants":["VideoMatte240K"],"data_loaders":[{"repo":"https://github.com/sichun233746/motif","url":"https://github.com/sichun233746/motif","frameworks":["pytorch"]}],"num_papers_in_archive":12,"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."}