{"url":"/dataset/openeds2020","name":"OpenEDS2020","full_name":null,"description_markdown":"OpenEDS2020 is a dataset of eye-image sequences captured at a frame rate of 100 Hz under controlled illumination, using a virtual-reality head-mounted display mounted with two synchronized eye-facing cameras. The dataset, which is anonymized to remove any personally identifiable information on participants, consists of 80 participants of varied appearance performing several gaze-elicited tasks, and is divided in two subsets: 1) Gaze Prediction Dataset, with up to 66,560 sequences containing 550,400 eye-images and respective gaze vectors, created to foster research in spatio-temporal gaze estimation and prediction approaches; and 2) Eye Segmentation Dataset, consisting of 200 sequences sampled at 5 Hz, with up to 29,500 images, of which 5% contain a semantic segmentation label, devised to encourage the use of temporal information to propagate labels to contiguous frames. \r\n\r\nSource: [OpenEDS2020: Open Eyes Dataset](/paper/openeds2020-open-eyes-dataset)\r\nImage Source: [Palmero et al](https://arxiv.org/pdf/2005.03876v1.pdf)","description_withheld":null,"homepage":"https://research.fb.com/programs/openeds-2020-challenge/","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/openeds2020-open-eyes-dataset","title":"OpenEDS2020: Open Eyes Dataset","first_author":"Cristina Palmero","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Semantic Segmentation","url":"/task/semantic-segmentation","datasets_with_task":"/datasets/task/semantic-segmentation"},{"name":"Gaze Estimation","url":"/task/gaze-estimation","datasets_with_task":"/datasets/task/gaze-estimation"},{"name":"Gaze Prediction","url":"/task/eye-tracking","datasets_with_task":"/datasets/task/eye-tracking"}],"languages":[],"variants":["OpenEDS2020"],"data_loaders":[],"num_papers_in_archive":7,"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."}