{"url":"/dataset/canon-raw-low-light","name":"Canon RAW Low Light","full_name":"Canon Camera Low Light RAW Image Dataset","description_markdown":"The goal of this project is to present two new datasets that seek to expand the capability of the Learning to See in the Dark Low-light enhancement CNN for the Canon 6D DSLR, and explore how the network performs when modified in various ways, both pruning it and making it deeper.\r\n\r\nThe original paper Learning to See in the Dark was published in CVPR 2018, by Chen Chen, Qifeng Chen, Jia Xu, and Vladlen Koltun.","description_withheld":null,"homepage":"https://github.com/jconenna/Canon-6D-Datasets-For-Learning-to-See-in-the-Dark","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Domain Adaptation","url":"/task/domain-adaptation","datasets_with_task":"/datasets/task/domain-adaptation"},{"name":"Image Enhancement","url":"/task/image-enhancement","datasets_with_task":"/datasets/task/image-enhancement"},{"name":"Low-Light Image Enhancement","url":"/task/low-light-image-enhancement","datasets_with_task":"/datasets/task/low-light-image-enhancement"}],"languages":[],"variants":["Canon RAW Low Light"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/domain-adaptation-on-canon-raw-low-light","task":"Domain Adaptation","dataset_variant":"Canon RAW Low Light","rows":1,"metrics":["PSNR","SSIM"],"first_row_in_archive_order":{"model":"FSDA-LL Sony -> Canon","paper":"/paper/few-shot-domain-adaptation-for-low-light-raw","metrics":{"PSNR":"33.22","SSIM":"0.896"},"code_links":[{"title":"Vishal-V/FSDA-LowLight","url":"https://github.com/Vishal-V/FSDA-LowLight"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/low-light-image-enhancement-on-canon-raw-low","task":"Low-Light Image Enhancement","dataset_variant":"Canon RAW Low Light","rows":1,"metrics":["PSNR","SSIM"],"first_row_in_archive_order":{"model":"FSDA-LL","paper":"/paper/few-shot-domain-adaptation-for-low-light-raw","metrics":{"PSNR":"33.22","SSIM":"0.896"},"code_links":[{"title":"Vishal-V/FSDA-LowLight","url":"https://github.com/Vishal-V/FSDA-LowLight"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/few-shot-domain-adaptation-for-low-light-raw","title":"Few-Shot Domain Adaptation for Low Light RAW Image Enhancement","date":"2023-03-27","rows_on_this_dataset":2,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":9,"samples_ran":0,"samples_unverified":9,"pointer_only_for_licence":0,"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":1,"samples_harvested":9,"samples_ran":0,"samples_unverified":9,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":1,"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."}