GAze on TArget Dataset

Dataset reported in the deliverable D3.10 <strong>Description</strong> 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. <strong>Content</strong> The gaze annotations are provided with the JSON file format using the following naming convention.<br> objectID_imageID.json<br> 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.<br> [{“Time”:12510830749,”X”:343,”Y”:285},<br> {“Time”:12510864083,”X”:343,”Y”:285},<br> {“Time”:12510897394,”X”:343,”Y”:285},<br> {“Time”:12510930745,”X”:343,”Y”:286},<br> {“Time”:12510964081,”X”:343,”Y”:287}]