24 datasets found

The dataset is used for gaze estimation and analysis.

The dataset is used for gaze locking and human-object interaction.

MIT-300 is a benchmark consisting of held-out eye-tracking data for 300 images collected across 39 different viewers.

MIT-1003 is a dataset of eye-tracking data for 1003 images collected using a head-mounted eye-tracking device. The images cover natural indoor and outdoor scenes.

The dataset consists of 108 news headlines, 72 of which are true and 36 of which are false.

The dataset consists of 108 news headlines, 72 of which are true and 36 of which are false.

Event-based eye tracking has shown great promise with the high temporal resolution and low redundancy provided by the event camera. However, the diversity and abruptness of eye...

The Multilingual Eye-movement Corpus (MECO) is a collection of eye-tracking data that has been collected from participants reading texts in 13 languages.

The Copenhagen Corpus of eye tracking recordings from natural reading of Danish texts

The dataset used in the paper is a collection of eye-tracking data from various eye-tracking systems, including the EyeLink-1000, Tobii Pro TX300, and a custom-built system.

A dataset of eye-tracking experiments for HDR videos

The dataset consists of records of 52 first year students who completed the undergraduate engineering course (out of 115 registered students) at the University of Genoa.

The dataset used for the AIS2024 eye tracking challenge, containing recordings of eye movements with a 1 megapixel event camera.

The TEyeD dataset contains over 20 million real-world eye images with pupil, eyelid, and iris 2D and 3D segmentations, 2D and 3D landmarks, 3D eyeball, gaze vector, and eye...

The OpenEDS2020 Challenge dataset consists of eye-image sequences recorded through a VR HMD mounted with dual eye-facing cameras under controlled lighting conditions at a frame...

The OpenEDS2019 dataset contains eye-region video footage from 152 individual participants, comprising a total of 12,759 images at a resolution of 400 × 640 pixels, coupled with...

The EEGEyeNet dataset contains 47 hours of high-density 128-channel EEG data synchronized with eye-tracking recordings from 356 healthy adults.

The GIMO dataset contains motion and gaze data captured from 11 participants.

The MoGaze dataset provides motion capture and eye-tracking data recorded simultaneously from 6 participants performing place and pick actions.

The MPIIGaze dataset consists of 3,000 eye images each (1,500 left and 1,500 right) of 15 people. The eye images are provided in 60 x 36 pixels and are already frontalized...