{"url":"/dataset/whu-specular-dataset","name":"WHU-Specular dataset","full_name":"WHU-Specular dataset","description_markdown":"WHU-Specular is a large dataset of annotated specular highlight regions created from real-world images. It can be used for specular highlight detection task. It contains 4310 image pairs (specular images and corresponding highlight masks). We randomly selected 3,017 images as the training set, and other 1293 images as the testing set.\r\n\r\nSource: [SHDNet](https://github.com/fu123456/SHDNet)","description_withheld":null,"homepage":"https://github.com/fu123456/SHDNet","introduced_date":"2020-10-10","introduced_date_note":null,"introduced_by":{"paper":"/paper/learning-to-detect-specular-highlights-from","title":"Learning to Detect Specular Highlights from Real-world Images","first_author":"Gang Fu","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[],"languages":[],"variants":["WHU-Specular dataset"],"data_loaders":[{"repo":"https://github.com/fu123456/SHDNet","url":"https://github.com/fu123456/SHDNet","frameworks":[]}],"num_papers_in_archive":3,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"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."}