{"url":"/dataset/sid","name":"SID","full_name":"See-in-the-Dark","description_markdown":"The See-in-the-Dark (SID) dataset contains 5094 raw short-exposure images, each with a corresponding long-exposure reference image.\r\nImages were captured using two cameras: Sony α7SII and Fujifilm X-T2.","description_withheld":null,"homepage":"https://cchen156.github.io/SID.html","introduced_date":"2018-05-04","introduced_date_note":null,"introduced_by":{"paper":"/paper/learning-to-see-in-the-dark","title":"Learning to See in the Dark","first_author":"Chen Chen","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Denoising","url":"/task/denoising","datasets_with_task":"/datasets/task/denoising"},{"name":"Low-Light Image Enhancement","url":"/task/low-light-image-enhancement","datasets_with_task":"/datasets/task/low-light-image-enhancement"},{"name":"Image Denoising","url":"/task/image-denoising","datasets_with_task":"/datasets/task/image-denoising"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["SID","SID x300","SID x100"],"data_loaders":[{"repo":"https://github.com/samsunglabs/day-to-night","url":"https://github.com/samsunglabs/day-to-night","frameworks":["pytorch"]}],"num_papers_in_archive":155,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/image-denoising-on-sid-x100","task":"Image Denoising","dataset_variant":"SID x100","rows":8,"metrics":["PSNR (Raw)","SSIM"],"first_row_in_archive_order":{"model":"LLD*","paper":"/paper/physics-guided-iso-dependent-sensor-noise","metrics":{"PSNR (Raw)":"43.36","SSIM":"0.961"},"code_links":[{"title":"happycaoyue/lld","url":"https://github.com/happycaoyue/lld"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/image-denoising-on-sid-x300","task":"Image Denoising","dataset_variant":"SID x300","rows":8,"metrics":["PSNR (Raw)","SSIM"],"first_row_in_archive_order":{"model":"LLD*","paper":"/paper/physics-guided-iso-dependent-sensor-noise","metrics":{"PSNR (Raw)":"37.80","SSIM":"0.935"},"code_links":[{"title":"happycaoyue/lld","url":"https://github.com/happycaoyue/lld"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/low-light-image-enhancement-on-sid","task":"Low-Light Image Enhancement","dataset_variant":"SID","rows":2,"metrics":["PSNR","SSIM","5-way 5~10-shot"],"first_row_in_archive_order":{"model":"Retinexformer","paper":"/paper/retinexformer-one-stage-retinex-based","metrics":{"PSNR":"24.44","SSIM":"0.680"},"code_links":[{"title":"cmhungsteve/Awesome-Transformer-Attention","url":"https://github.com/cmhungsteve/Awesome-Transformer-Attention"},{"title":"caiyuanhao1998/retinexformer","url":"https://github.com/caiyuanhao1998/retinexformer"},{"title":"DmitryRyumin/ICCV-2023-Papers","url":"https://github.com/DmitryRyumin/ICCV-2023-Papers"},{"title":"lcybuzz/Low-Level-Vision-Paper-Record","url":"https://github.com/lcybuzz/Low-Level-Vision-Paper-Record"},{"title":"dawnlh/awesome-low-light-image-enhancement","url":"https://github.com/dawnlh/awesome-low-light-image-enhancement"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"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":"2026-09-24T18:15:14+00:00","samples_harvested":10,"samples_ran":2,"samples_unverified":8,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/physics-guided-iso-dependent-sensor-noise","title":"Physics-Guided ISO-Dependent Sensor Noise Modeling for Extreme Low-Light Photography","date":"2023-01-01","rows_on_this_dataset":4,"code_links":1,"syntology":null},{"paper":"/paper/learnability-enhancement-for-low-light-raw","title":"Learnability Enhancement for Low-light Raw Denoising: Where Paired Real Data Meets Noise Modeling","date":"2022-07-13","rows_on_this_dataset":2,"code_links":1,"syntology":null},{"paper":"/paper/dancing-under-the-stars-video-denoising-in","title":"Dancing under the stars: video denoising in starlight","date":"2022-04-08","rows_on_this_dataset":2,"code_links":0,"syntology":null},{"paper":"/paper/rethinking-noise-synthesis-and-modeling-in-1","title":"Rethinking Noise Synthesis and Modeling in Raw Denoising","date":"2021-10-10","rows_on_this_dataset":2,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":1,"samples_ran":1,"samples_unverified":0,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/physics-based-noise-modeling-for-extreme-low","title":"Physics-based Noise Modeling for Extreme Low-light Photography","date":"2021-08-04","rows_on_this_dataset":2,"code_links":2,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":8,"samples_ran":1,"samples_unverified":7,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/seeing-motion-in-the-dark","title":"Seeing Motion in the Dark","date":"2019-10-01","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/noise-flow-noise-modeling-with-conditional","title":"Noise Flow: Noise Modeling with Conditional Normalizing Flows","date":"2019-08-22","rows_on_this_dataset":2,"code_links":1,"syntology":null},{"paper":"/paper/learning-to-see-in-the-dark","title":"Learning to See in the Dark","date":"2018-05-04","rows_on_this_dataset":2,"code_links":19,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":14,"samples_ran":1,"samples_unverified":13,"pointer_only_for_licence":2,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":4,"samples_harvested":33,"samples_ran":5,"samples_unverified":28,"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."}