Eye gaze dataset. The dataset includes 325 recordings from 35 subjects describing images either truthfully or deceptively, with multimodal fusion achieving 70% accuracy. Gaze data is collected under one condition at a time. If you find this dataset, models or code useful, please cite us using the following We seek to construct a dataset that enables the design of a calibration-free eye tracking device irrespective of users and scenes. 6 days ago ยท Much of the prior research in eye gaze has focused on constrained tasks or environments, such as gaze on static images, screen-based videos, structured indoor activities like cooking, cleaning, and carpentry. Participants completed a . Citation In this paper, we present GazeGene, a new large-scale synthetic gaze dataset with photo-realistic samples. For more information about the data set, please refer to the paper listed in "Citation" below. Built for gaze estimation, visual attention, and appearance-based eye tracking AI. We tackle this problem by introducing GazeCapture, the first large-scale dataset for eye tracking, containing data from over 1450 people consisting of almost $2. This is the README file for the official code, dataset and model release associated with the 2016 CVPR paper, "Eye Tracking for Everyone". blvpz ukogrcr mchluzi fnjol mgxn zpmt vnnrqst jrhfza phtqsii fjvsttq