{"url":"/dataset/cuhk-shadow","name":"CUHK-Shadow","full_name":null,"description_markdown":"Collects shadow images for multiple scenarios and compiled a new dataset of 10,500 shadow images, each with labeled ground-truth mask, for supporting shadow detection in the complex world. The dataset covers a rich variety of scene categories, with diverse shadow sizes, locations, contrasts, and types. \r\n\r\nSource: [Revisiting Shadow Detection: A New Benchmark Dataset for Complex World](/paper/revisiting-shadow-detection-a-new-benchmark)","description_withheld":null,"homepage":"https://github.com/xw-hu/CUHK-Shadow#cuhk-shadow-dateset","introduced_date":"2020-12-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/revisiting-shadow-detection-a-new-benchmark","title":"Revisiting Shadow Detection: A New Benchmark Dataset for Complex World","first_author":"Xiaowei Hu","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Shadow Detection","url":"/task/shadow-detection","datasets_with_task":"/datasets/task/shadow-detection"}],"languages":[],"variants":["CUHK-Shadow"],"data_loaders":[{"repo":"https://github.com/xw-hu/CUHK-Shadow","url":"https://github.com/xw-hu/CUHK-Shadow","frameworks":[]}],"num_papers_in_archive":8,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/shadow-detection-on-cuhk-shadow","task":"Shadow Detection","dataset_variant":"CUHK-Shadow","rows":16,"metrics":["BER"],"first_row_in_archive_order":{"model":"FDRNet (ICCV 2021) (512x512)","paper":"/paper/mitigating-intensity-bias-in-shadow-detection","metrics":{"BER":"6.58"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/sddnet-style-guided-dual-layer","title":"SDDNet: Style-guided Dual-layer Disentanglement Network for Shadow Detection","date":"2023-08-17","rows_on_this_dataset":2,"code_links":1,"syntology":null},{"paper":"/paper/mitigating-intensity-bias-in-shadow-detection","title":"Mitigating Intensity Bias in Shadow Detection via Feature Decomposition and Reweighting","date":"2021-01-01","rows_on_this_dataset":4,"code_links":0,"syntology":null},{"paper":"/paper/a-multi-task-mean-teacher-for-semi-supervised","title":"A Multi-Task Mean Teacher for Semi-Supervised Shadow Detection","date":"2020-06-01","rows_on_this_dataset":2,"code_links":1,"syntology":null},{"paper":"/paper/revisiting-shadow-detection-a-new-benchmark","title":"Revisiting Shadow Detection: A New Benchmark Dataset for Complex World","date":"2019-11-16","rows_on_this_dataset":2,"code_links":2,"syntology":null},{"paper":"/paper/distraction-aware-shadow-detection","title":"Distraction-Aware Shadow Detection","date":"2019-06-01","rows_on_this_dataset":2,"code_links":0,"syntology":null},{"paper":"/paper/bidirectional-feature-pyramid-network-with","title":"Bidirectional Feature Pyramid Network with Recurrent Attention Residual Modules for Shadow Detection","date":"2018-09-01","rows_on_this_dataset":2,"code_links":1,"syntology":null},{"paper":"/paper/direction-aware-spatial-context-features-for-1","title":"Direction-aware Spatial Context Features for Shadow Detection and Removal","date":"2018-05-12","rows_on_this_dataset":2,"code_links":2,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":2,"samples_ran":1,"samples_unverified":1,"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":2,"samples_ran":1,"samples_unverified":1,"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."}