{"url":"/dataset/raincityscapes","name":"RainCityscapes","full_name":"RainCityscapes","description_markdown":"A  dataset for rain removal with scene depth information.  \r\nCompared with previous datasets, this dataset are all outdoor photos, each with a depth map, and the rain images exhibit different degrees of rain and fog.","description_withheld":null,"homepage":"https://www.cityscapes-dataset.com/downloads/","introduced_date":"2019-06-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/depth-attentional-features-for-single-image","title":"Depth-Attentional Features for Single-Image Rain Removal","first_author":"Xiaowei Hu","url":null},"license":null,"modalities":[],"tasks":[{"name":"Single Image Deraining","url":"/task/single-image-deraining","datasets_with_task":"/datasets/task/single-image-deraining"}],"languages":[],"variants":["RainCityscapes"],"data_loaders":[],"num_papers_in_archive":29,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/single-image-deraining-on-raincityscapes","task":"Single Image Deraining","dataset_variant":"RainCityscapes","rows":6,"metrics":["PSNR","SSIM"],"first_row_in_archive_order":{"model":"MCW-Net","paper":"/paper/mara-net-single-image-deraining-network-with","metrics":{"PSNR":"35.82","SSIM":"0.987"},"code_links":[{"title":"yechanp/MCW-Net","url":"https://github.com/yechanp/MCW-Net"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/mara-net-single-image-deraining-network-with","title":"MCW-Net: Single Image Deraining with Multi-level Connections and Wide Regional Non-local Blocks","date":"2020-09-29","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/depth-attentional-features-for-single-image","title":"Depth-Attentional Features for Single-Image Rain Removal","date":"2019-06-01","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/spatial-attentive-single-image-deraining-with","title":"Spatial Attentive Single-Image Deraining with a High Quality Real Rain Dataset","date":"2019-04-02","rows_on_this_dataset":1,"code_links":2,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":5,"samples_ran":3,"samples_unverified":2,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/density-aware-single-image-de-raining-using-a","title":"Density-aware Single Image De-raining using a Multi-stream Dense Network","date":"2018-02-21","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":1,"samples_harvested":5,"samples_ran":3,"samples_unverified":2,"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."}