{"url":"/dataset/cds2k","name":"CDS2K","full_name":null,"description_markdown":"**CDS2K** is a benchmark for Concealed scene understanding (CSU), which is a hot computer vision topic aiming to perceive objects with camouflaged properties. It is a concealed defect segmentation dataset from the five well-known defect segmentation databases. It contains five sub-databases: MVTecAD, NEU, CrackForest, KolektorSDD, and MagneticTile. The defective regions are highlighted with red rectangles.\r\n\r\nSource: [Advances in Deep Concealed Scene Understanding](https://arxiv.org/pdf/2304.11234v1.pdf)\r\n\r\nImage Source:[Advances in Deep Concealed Scene Understanding | Github Repo](https://github.com/dengpingfan/csu)","description_withheld":null,"homepage":"https://github.com/DengPingFan/CSU","introduced_date":"2023-04-21","introduced_date_note":null,"introduced_by":{"paper":"/paper/advances-in-deep-concealed-scene","title":"Advances in Deep Concealed Scene Understanding","first_author":"Deng-Ping Fan","url":null},"license":{"name":"MIT License","url":"https://github.com/DengPingFan/CSU/blob/main/LICENSE"},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Scene Understanding","url":"/task/scene-understanding","datasets_with_task":"/datasets/task/scene-understanding"}],"languages":[],"variants":["CDS2K"],"data_loaders":[],"num_papers_in_archive":4,"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."}