Images

GOO

Gaze on Objects

Introduced in GOO: A Dataset for Gaze Object Prediction in Retail Environments2021

About this Dataset

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.

Source: GOO: A Dataset for Gaze Object Prediction in Retail Environments

Dataset Variants

GOO

Papers1

GOO: A Dataset for Gaze Object Prediction in Retail Environments

This work establishes extensive baselines on GOO by re-implementing and evaluating selected state-of-the-art models on the task of gaze following and domain adaptation and presents a challenging new task called gaze object prediction.

Tasks

EDIT

Gaze Prediction

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Statistics

Papers

1

Tasks

32

Introduced

2021

License

Unknown

Modalities

Images