{"url":"/dataset/ali","name":"SEPE 8K","full_name":"SEPE 8K","description_markdown":"SEPE 8K dataset is made of 40 different 8K (8192 x 4320) video sequences and 40 variant 8K (8192 x 5464) images. The video sequences were captured at a framerate of 29.97 frames per second (FPS) and had been encoded into videos using AVC/H.264, HEVC/H.265, and AV1 codecs at resolutions from 8K to 480p. The images, video sequences, encoded videos, and various other statistics related to the media that make the dataset are stored online, published, and maintained on the repo on GitHub for non-commercial use. this proposed dataset is - as far as we know - the first to publish true 8K natural sequences; thus, it is important for the next level of applications dealing with multimedia such as video quality assessment, super-resolution, video coding, video compression, and many more.\r\n\r\nPaper: https://doi.org/10.1145/3587819.3592560","description_withheld":null,"homepage":"https://github.com/talshoura/SEPE-8K-Dataset","introduced_date":"2023-06-08","introduced_date_note":null,"introduced_by":null,"license":{"name":"non-commercial","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[{"name":"Video Frame Interpolation","url":"/task/video-frame-interpolation","datasets_with_task":"/datasets/task/video-frame-interpolation"},{"name":"Video Super-Resolution","url":"/task/video-super-resolution","datasets_with_task":"/datasets/task/video-super-resolution"},{"name":"Video Denoising","url":"/task/video-denoising","datasets_with_task":"/datasets/task/video-denoising"},{"name":"Video Restoration","url":"/task/video-restoration","datasets_with_task":"/datasets/task/video-restoration"},{"name":"Video Enhancement","url":"/task/video-enhancement","datasets_with_task":"/datasets/task/video-enhancement"},{"name":"Video Compression","url":"/task/video-compression","datasets_with_task":"/datasets/task/video-compression"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["SEPE 8K"],"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/video-restoration-on-sepe-8k","task":"Video Restoration","dataset_variant":"SEPE 8K","rows":2,"metrics":["Average PSNR (dB)"],"first_row_in_archive_order":{"model":"DiQP on AV1 with QP 255","paper":"/paper/reversing-the-damage-a-qp-aware-transformer","metrics":{"Average PSNR (dB)":"34.868"},"code_links":[{"title":"alimd94/DiQP","url":"https://github.com/alimd94/DiQP"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/reversing-the-damage-a-qp-aware-transformer","title":"Reversing the Damage: A QP-Aware Transformer-Diffusion Approach for 8K Video Restoration under Codec Compression","date":"2024-12-12","rows_on_this_dataset":2,"code_links":1,"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."}