GAze on TArget Dataset
Konstantinos Stavridis, Athanasios Psaltis, Anastasios Dimou, Georgios Th. Papadopoulos, Petros Daras · Zenodo (CERN European Organization for Nuclear Research) · 2019
Dataset reported in the deliverable D3.10 Description GAze on TArget (GATA) dataset is a large-scale annotated gaze dataset, tailored for training deep learning architectures. It was created following the “target search” paradigm where subjects were asked to visually search for a specific object class. Forty-eight different subjects participated in the recording procedure using myGaze capturing sensor. Content The gaze annotations are provided with the JSON file format using the following naming convention. objectID_imageID.json The first part (objectID) denotes the target object class id and the second part (imageID) the COCO image id respectively. Inside the JSON file gaze points annotations, timestamp and x,y coordinates, are included as presented below. [{“Time”:12510830749,”X”:343,”Y”:285}, {“Time”:12510864083,”X”:343,”Y”:285}, {“Time”:12510897394,”X”:343,”Y”:285}, {“Time”:12510930745,”X”:343,”Y”:286}, {“Time”:12510964081,”X”:343,”Y”:287}]