{"url":"/dataset/p3","name":"P3","full_name":"Psychophysical Patterns Dataset","description_markdown":"A set of patterns used in psychophysical research to evaluate the ability of saliency algorithms to find targets distinct from distractors in orientation, color and size. Each image is a 7x7 grid and contains a single target. All images are 1024x1024px and have corresponding ground truth masks for the target and distractors.","description_withheld":null,"homepage":"http://data.nvision2.eecs.yorku.ca/P3O3/","introduced_date":"2019-09-09","introduced_date_note":null,"introduced_by":{"paper":"/paper/do-saliency-models-detect-odd-one-out-targets","title":"Do Saliency Models Detect Odd-One-Out Targets? New Datasets and Evaluations","first_author":"Iuliia Kotseruba","url":null},"license":{"name":"MIT","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Salient Object Detection","url":"/task/salient-object-detection-1","datasets_with_task":"/datasets/task/salient-object-detection-1"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["P3"],"data_loaders":[],"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."}