{"url":"/dataset/casia-v2","name":"CASIA V2","full_name":"CASIA V2","description_markdown":"**CASIA V2** is a dataset for forgery classification. It contains 4795 images, 1701 authentic and 3274 forged.\r\n\r\nSource: [Copy-Move Forgery Classification via Unsupervised Domain Adaptation](https://arxiv.org/abs/1911.07932)\r\nImage Source: [https://www.mdpi.com/1099-4300/21/4/371](https://www.mdpi.com/1099-4300/21/4/371)","description_withheld":null,"homepage":"https://github.com/namtpham/casia2groundtruth","introduced_date":"2013-01-01","introduced_date_note":null,"introduced_by":{"paper":null,"title":"CASIA Image Tampering Detection Evaluation Database","first_author":null,"url":"https://ieeexplore.ieee.org/document/6625374"},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Domain Adaptation","url":"/task/domain-adaptation","datasets_with_task":"/datasets/task/domain-adaptation"},{"name":"Image Inpainting","url":"/task/image-inpainting","datasets_with_task":"/datasets/task/image-inpainting"},{"name":"Image Manipulation","url":"/task/image-manipulation","datasets_with_task":"/datasets/task/image-manipulation"}],"languages":[],"variants":["CASIA V2"],"data_loaders":[{"repo":"https://github.com/namtpham/casia2groundtruth","url":"https://github.com/namtpham/casia2groundtruth","frameworks":[]},{"repo":"https://github.com/sunnyhaze/casia2.0-corrected-groundtruth","url":"https://github.com/sunnyhaze/casia2.0-corrected-groundtruth","frameworks":[]}],"num_papers_in_archive":15,"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."}