{"url":"/dataset/ini-30","name":"INI-30","full_name":null,"description_markdown":"A representative event-based eye-tracking dataset,  collected with two event cameras mounted on a glass frame. It features variable recording lengths and event counts from 30 volunteers, providing an ideal benchmark for modeling the heterogeneity of event-based eye tracking in real-world scenarios.","description_withheld":null,"homepage":"https://pietrobonazzi.com/projects/retina","introduced_date":"2023-12-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/a-low-power-neuromorphic-approach-for","title":"Retina : Low-Power Eye Tracking with Event Camera and Spiking Hardware","first_author":"Pietro Bonazzi","url":null},"license":null,"modalities":[],"tasks":[{"name":"regression","url":"/task/regression-1","datasets_with_task":"/datasets/task/regression-1"},{"name":"Pupil Tracking","url":"/task/pupil-tracking","datasets_with_task":"/datasets/task/pupil-tracking"},{"name":"Pupil Detection","url":"/task/pupil-detection","datasets_with_task":"/datasets/task/pupil-detection"}],"languages":[],"variants":["INI-30"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/pupil-detection-on-ini-30","task":"Pupil Detection","dataset_variant":"INI-30","rows":2,"metrics":["Euclidean Distance"],"first_row_in_archive_order":{"model":"CNN","paper":"/paper/a-low-power-neuromorphic-approach-for","metrics":{"Euclidean Distance":"0.5"},"code_links":[{"title":"pbonazzi/retina","url":"https://github.com/pbonazzi/retina"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/pupil-tracking-on-ini-30","task":"Pupil Tracking","dataset_variant":"INI-30","rows":2,"metrics":["Euclidean Distance"],"first_row_in_archive_order":{"model":"Retina","paper":"/paper/a-low-power-neuromorphic-approach-for","metrics":{"Euclidean Distance":"3.24"},"code_links":[{"title":"pbonazzi/retina","url":"https://github.com/pbonazzi/retina"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/a-low-power-neuromorphic-approach-for","title":"Retina : Low-Power Eye Tracking with Event Camera and Spiking Hardware","date":"2023-12-01","rows_on_this_dataset":4,"code_links":1,"syntology":null}],"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."}