{"url":"/dataset/look","name":"LOOK","full_name":null,"description_markdown":"**LOOK** is a large-scale dataset for eye contact detection in the wild, which focuses on diverse and unconstrained scenarios for real-world generalization. The dataset focuses on real-world scenarios for autonomous vehicles with no control over the environment or the distance of pedestrians","description_withheld":null,"homepage":"https://looking-vita-epfl.github.io/dataset/","introduced_date":"2021-12-08","introduced_date_note":null,"introduced_by":{"paper":"/paper/do-pedestrians-pay-attention-eye-contact","title":"Do Pedestrians Pay Attention? Eye Contact Detection in the Wild","first_author":"Younes Belkada","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[],"languages":[],"variants":["LOOK"],"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."}