{"url":"/dataset/lsui","name":"LSUI","full_name":"Large Scale  Underwater Image Dataset","description_markdown":"We released a large-scale underwater image (LSUI) dataset including 5004 image pairs, which involve richer underwater scenes (lighting conditions, water types and target categories) and better visual quality reference images than the existing ones.","description_withheld":null,"homepage":"https://bianlab.github.io/data.html","introduced_date":"2021-11-23","introduced_date_note":null,"introduced_by":{"paper":"/paper/u-shape-transformer-for-underwater-image","title":"U-shape Transformer for Underwater Image Enhancement","first_author":"Lintao Peng","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Underwater Image Restoration","url":"/task/underwater-image-restoration","datasets_with_task":"/datasets/task/underwater-image-restoration"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["LSUI"],"data_loaders":[],"num_papers_in_archive":36,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/underwater-image-restoration-on-lsui","task":"Underwater Image Restoration","dataset_variant":"LSUI","rows":6,"metrics":["PSNR"],"first_row_in_archive_order":{"model":"CE-VAE","paper":"/paper/capsule-enhanced-variational-autoencoder-for","metrics":{"PSNR":"24.49"},"code_links":[{"title":"in1k1/ce-vae-underwater-image-enhancement","url":"https://github.com/in1k1/ce-vae-underwater-image-enhancement"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/capsule-enhanced-variational-autoencoder-for","title":"CE-VAE: Capsule Enhanced Variational AutoEncoder for Underwater Image Enhancement","date":"2024-06-03","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/u-shape-transformer-for-underwater-image","title":"U-shape Transformer for Underwater Image Enhancement","date":"2021-11-23","rows_on_this_dataset":1,"code_links":2,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":5,"samples_ran":1,"samples_unverified":4,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/underwater-image-enhancement-via-medium","title":"Underwater Image Enhancement via Medium Transmission-Guided Multi-Color Space Embedding","date":"2021-04-27","rows_on_this_dataset":1,"code_links":7,"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/fast-underwater-image-enhancement-for","title":"Fast Underwater Image Enhancement for Improved Visual Perception","date":"2019-03-23","rows_on_this_dataset":1,"code_links":3,"syntology":null},{"paper":"/paper/an-underwater-image-enhancement-benchmark","title":"An Underwater Image Enhancement Benchmark Dataset and Beyond","date":"2019-01-11","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":11,"samples_ran":0,"samples_unverified":11,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/enhancing-underwater-imagery-using-generative","title":"Enhancing Underwater Imagery using Generative Adversarial Networks","date":"2018-01-11","rows_on_this_dataset":1,"code_links":2,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":3,"samples_harvested":17,"samples_ran":2,"samples_unverified":15,"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."}