GOO (Gaze on Objects)

Introduced by Tomas et al. in GOO: A Dataset for Gaze Object Prediction in Retail Environments

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. GOO is composed of a large set of synthetic images (GOO Synth) supplemented by a smaller subset of real images (GOO-Real) of people looking at objects in a retail environment.

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