{"url":"/dataset/avasym","name":"AvaSym","full_name":null,"description_markdown":"Global Symmetry Ground-truth for AVA dataset.\r\n\r\nRelease Date: 2016.\r\n\r\nUsers of this software are encouraged to cite the following article:\r\nElawady, Mohamed, Cécile Barat, Christophe Ducottet, and Philippe Colantoni. \"Global Bilateral Symmetry Detection Using Multiscale Mirror Histograms.\" In International Conference on Advanced Concepts for Intelligent Vision Systems, pp. 14-24. Springer International Publishing, 2016.\r\n\r\n\r\nContents:\r\n\r\n GT_AVA/AVA_GT.mat : list of image names and axis groundtruth (x1,y1,x2,y2).\r\n\r\nDwnImgs.m : MATLAB code file to download images from DpChallenge website and to show how to use groundtruth, the m-code will create two directories ('Imgs', 'ImgsGT').","description_withheld":null,"homepage":"https://github.com/mawady/AvaSym","introduced_date":"2016-10-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/global-bilateral-symmetry-detection-using","title":"Global Bilateral Symmetry Detection Using Multiscale Mirror Histograms","first_author":"Mohamed Elawady","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Symmetry Detection","url":"/task/symmetry-detection","datasets_with_task":"/datasets/task/symmetry-detection"}],"languages":[],"variants":["AvaSym"],"data_loaders":[{"repo":"https://github.com/mawady/AvaSym","url":"https://github.com/mawady/AvaSym","frameworks":[]}],"num_papers_in_archive":2,"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."}