{"url":"/dataset/goo","name":"GOO","full_name":"Gaze on Objects","description_markdown":"**GOO** (Gaze-on-Objects) is a dataset for gaze object prediction, where the goal is to predict a bounding box for a person's gazed-at object. GOO is composed of a large set of synthetic images (GOO Synth) supplemented by a smaller subset of real images (GOO-Real) of people looking at objects in a retail environment.","description_withheld":null,"homepage":"https://github.com/upeee/GOO-GAZE2021","introduced_date":"2021-05-22","introduced_date_note":null,"introduced_by":{"paper":"/paper/goo-a-dataset-for-gaze-object-prediction-in","title":"GOO: A Dataset for Gaze Object Prediction in Retail Environments","first_author":"Henri Tomas","url":null},"license":{"name":"Unknown","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Gaze Prediction","url":"/task/eye-tracking","datasets_with_task":"/datasets/task/eye-tracking"}],"languages":[],"variants":["GOO"],"data_loaders":[],"num_papers_in_archive":5,"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."}