{"url":"/dataset/o3","name":"O3","full_name":"Odd-One-Out Dataset","description_markdown":"A set of realistic odd-one-out stimuli gathered \"in the wild\". Each image in the Odd-One-Out (O3) dataset depicts a scene with multiple objects similar to each other in appearance (distractors) and a singleton (target) distinct in one or more feature dimensions (e.g. color, shape, size). All images are resized so that the larger dimension is 1024px. Targets represent approx. 400 common object types such as flowers, sweets, chicken eggs, leaves, tiles and birds. Pixelwise masks are provided for targets and distractors. Annotations are generated using CVAT.","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"}],"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":["O3"],"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."}