{"url":"/dataset/eyediap","name":"EYEDIAP","full_name":null,"description_markdown":"The **EYEDIAP** dataset is a dataset for gaze estimation from remote RGB, and RGB-D (standard vision and depth), cameras. The recording methodology was designed by systematically including, and isolating, most of the variables which affect the remote gaze estimation algorithms:\r\n\r\n* Head pose variations.\r\n* Person variation.\r\n* Changes in ambient and sensing condition.\r\n* Types of target: screen or 3D object.\r\n\r\nSource: [https://www.idiap.ch/dataset/eyediap](https://www.idiap.ch/dataset/eyediap)\r\nImage Source: [https://www.idiap.ch/dataset/eyediap](https://www.idiap.ch/dataset/eyediap)","description_withheld":null,"homepage":"https://www.idiap.ch/dataset/eyediap","introduced_date":"2014-01-01","introduced_date_note":null,"introduced_by":{"paper":null,"title":"EYEDIAP: a database for the development and evaluation of gaze estimation algorithms from RGB and RGB-D cameras","first_author":null,"url":"https://doi.org/10.1145/2578153.2578190"},"license":{"name":"Custom (research-only, non-commercial)","url":"https://zenodo.org/record/4467455#.YFN_z2T7S_w"},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Videos","url":"/datasets/modality/videos"},{"name":"RGB-D","url":"/datasets/modality/rgb-d"}],"tasks":[{"name":"Gaze Estimation","url":"/task/gaze-estimation","datasets_with_task":"/datasets/task/gaze-estimation"}],"languages":[],"variants":["EYEDIAP (screen target)","EYEDIAP (floating target)","EYEDIAP"],"data_loaders":[],"num_papers_in_archive":57,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/gaze-estimation-on-eyediap-floating-target","task":"Gaze Estimation","dataset_variant":"EYEDIAP (floating target)","rows":2,"metrics":["Angular Error"],"first_row_in_archive_order":{"model":"RecurrentGaze (Temporal)","paper":"/paper/recurrent-cnn-for-3d-gaze-estimation-using","metrics":{"Angular Error":"5.19"},"code_links":[{"title":"crisie/RecurrentGaze","url":"https://github.com/crisie/RecurrentGaze"},{"title":"crisie/CRNN-Gaze","url":"https://github.com/crisie/CRNN-Gaze"},{"title":"code-implementation1/Code9","url":"https://github.com/code-implementation1/Code9/tree/main/CRNN"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/gaze-estimation-on-eyediap-screen-target","task":"Gaze Estimation","dataset_variant":"EYEDIAP (screen target)","rows":2,"metrics":["Angular Error"],"first_row_in_archive_order":{"model":"RecurrentGaze (Static)","paper":"/paper/recurrent-cnn-for-3d-gaze-estimation-using","metrics":{"Angular Error":"3.38"},"code_links":[{"title":"crisie/RecurrentGaze","url":"https://github.com/crisie/RecurrentGaze"},{"title":"crisie/CRNN-Gaze","url":"https://github.com/crisie/CRNN-Gaze"},{"title":"code-implementation1/Code9","url":"https://github.com/code-implementation1/Code9/tree/main/CRNN"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/gaze-estimation-on-eyediap","task":"Gaze Estimation","dataset_variant":"EYEDIAP","rows":1,"metrics":["Mean Angle Error"],"first_row_in_archive_order":{"model":"AGE-Net","paper":"/paper/agent-guided-gaze-estimation-network-by-two","metrics":{"Mean Angle Error":"4.78"},"code_links":[{"title":"iszff/AGE-Net","url":"https://github.com/iszff/AGE-Net"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/agent-guided-gaze-estimation-network-by-two","title":"Agent-Guided Gaze Estimation Network by Two-Eye Asymmetry Exploration","date":"2024-10-30","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/recurrent-cnn-for-3d-gaze-estimation-using","title":"Recurrent CNN for 3D Gaze Estimation using Appearance and Shape Cues","date":"2018-05-08","rows_on_this_dataset":4,"code_links":3,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":10,"samples_ran":0,"samples_unverified":10,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":1,"samples_harvested":10,"samples_ran":0,"samples_unverified":10,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":1,"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."}