{"url":"/dataset/lol-blur","name":"LOL-Blur","full_name":"low-blur/high-sharp-scaled","description_markdown":"A total of 170 videos for training and 30 videos for testing, each of which has 60 frames, amounting to 12,000 paired data. (Note that the first and last 30 frames of each video are NOT consecutive, and their darknesses are simulated differently as well.)","description_withheld":null,"homepage":"https://shangchenzhou.com/projects/LEDNet/","introduced_date":"2022-02-07","introduced_date_note":null,"introduced_by":{"paper":"/paper/lednet-joint-low-light-enhancement-and","title":"LEDNet: Joint Low-light Enhancement and Deblurring in the Dark","first_author":"Shangchen Zhou","url":null},"license":null,"modalities":[],"tasks":[{"name":"Low-light Image Deblurring and Enhancement","url":"/task/low-light-image-deblurring-and-enhancement","datasets_with_task":"/datasets/task/low-light-image-deblurring-and-enhancement"}],"languages":[],"variants":["LOL-Blur"],"data_loaders":[],"num_papers_in_archive":11,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/low-light-image-deblurring-and-enhancement-on","task":"Low-light Image Deblurring and Enhancement","dataset_variant":"LOL-Blur","rows":3,"metrics":["Average PSNR","SSIM","LPIPS"],"first_row_in_archive_order":{"model":"CIDNet","paper":"/paper/you-only-need-one-color-space-an-efficient","metrics":{"Average PSNR":"26.572","LPIPS":"0.120","SSIM":"0.890"},"code_links":[{"title":"fediory/hvi-cidnet","url":"https://github.com/fediory/hvi-cidnet"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/you-only-need-one-color-space-an-efficient","title":"You Only Need One Color Space: An Efficient Network for Low-light Image Enhancement","date":"2024-02-08","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/retinexformer-one-stage-retinex-based","title":"Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement","date":"2023-03-12","rows_on_this_dataset":1,"code_links":5,"syntology":{"read_at":"2026-09-25T09:33:49+00:00","samples_harvested":10,"samples_ran":5,"samples_unverified":5,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/lednet-joint-low-light-enhancement-and","title":"LEDNet: Joint Low-light Enhancement and Deblurring in the Dark","date":"2022-02-07","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-25T09:33:49+00:00","samples_harvested":7,"samples_ran":4,"samples_unverified":3,"pointer_only_for_licence":7,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}}],"syntology_totals":{"read_at":"2026-09-25T09:33:49+00:00","papers_with_samples":2,"samples_harvested":17,"samples_ran":9,"samples_unverified":8,"pointer_only_for_licence":7,"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."}