{"url":"/dataset/ofdiw","name":"OFDIW","full_name":"OnFocus Detection In the Wild","description_markdown":"OnFocus Detection In the Wild (OFDIW) is an onfocus detection dataset. It consists of 20,623 images in unconstrained capture conditions (thus called \"in the wild'') and contains individuals with diverse emotions, ages, facial characteristics, and rich interactions with surrounding objects and background scenes. The images are collected from the LFW dataset and the Oxford-IIIT Pet dataset. Onfocus detection aims at identifying whether the focus of the individual captured by a camera is on the camera or not.","description_withheld":null,"homepage":"https://github.com/wintercho/focus","introduced_date":"2021-03-29","introduced_date_note":null,"introduced_by":{"paper":"/paper/onfocus-detection-identifying-individual","title":"Onfocus Detection: Identifying Individual-Camera Eye Contact from Unconstrained Images","first_author":"Dingwen Zhang","url":null},"license":{"name":"Unknown","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Image Classification","url":"/task/image-classification","datasets_with_task":"/datasets/task/image-classification"}],"languages":[],"variants":["OFDIW"],"data_loaders":[{"repo":"https://github.com/wintercho/focus","url":"https://github.com/wintercho/focus","frameworks":["pytorch"]}],"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."}