{"url":"/dataset/feret-morphs","name":"FERET-Morphs","full_name":null,"description_markdown":"FERET-Morphs is a dataset of morphed faces selected from the publicly available FERET dataset [1].\r\n\r\nWe created the database by selecting similar looking pairs of people, and made 3 types of morphs for each pair using the following morphing tools: OpenCV [2], FaceMorpher [3], StyleGAN 2 [3].\r\n\r\n* [1] https://www.nist.gov/itl/products-and-services/color-feret-database\r\n* [2] https://www.learnopencv.com/face-morph-using-opencv-cpp-python\r\n* [3] https://github.com/yaopang/FaceMorpher/tree/master/facemorpher\r\n* [4] https://github.com/NVlabs/stylegan2","description_withheld":null,"homepage":"https://www.idiap.ch/dataset/feret-morphs","introduced_date":"2020-10-21","introduced_date_note":null,"introduced_by":{"paper":"/paper/vulnerability-analysis-of-face-morphing","title":"Vulnerability Analysis of Face Morphing Attacks from Landmarks and Generative Adversarial Networks","first_author":"Eklavya Sarkar","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[],"languages":[],"variants":["FERET-Morphs"],"data_loaders":[],"num_papers_in_archive":10,"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."}