Home › Datasets › task › Gaze Prediction

Gaze Prediction datasets

archive 2025-07-28

6 datasets carry the task tag "Gaze Prediction" (the task itself: Gaze Prediction), ordered by the archive's paper count. Page 1 of 1: 6 shown of 6. Facet routes are this site's own (the archive records the tag string, not a page).

The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.

Filter 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets

Gaze Prediction datasets 1–6 of 6

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.
7 papers · 0 benchmarks
GOO (Gaze on Objects)
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.
5 papers · 0 benchmarks
OST (Egocentric Dataset)
Is one of the largest egocentric datasets in the object search task with eyetracking information available Source: Deep Future Gaze: Gaze Anticipation on Egocentric Videos Using Adversarial Networks
3 papers · 0 benchmarks
EGO-CH-Gaze (Learning to Detect Attended Objects in Cultural Sites with Gaze Signals and Weak Object Supervision)
To study the problem of weakly supervised attended object detection in cultural sites, we collected and labeled a dataset of egocentric images acquired from subjects visiting a cultural site.
1 paper · 0 benchmarks
EgoMon (Egomon Gaze & Video dataset)
EgoMon Gaze & Video Dataset is an Egocentric (first person) Dataset that consists of 7 videos of 30 minutes, more or less, each one of them.
1 paper · 0 benchmarks
The EyeInfo Dataset is an open-source eye-tracking dataset created by Fabricio Batista Narcizo, a research scientist at the IT University of Copenhagen (ITU) and GN Audio A/S (Jabra), Denmark.
1 paper · 0 benchmarks

Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.