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ETH-XGaze

A Large Scale Dataset for Gaze Estimation

ETH-XGaze

Gaze estimation is a fundamental task in many applications of computer vision, human computer interaction and robotics. Many state-of-the-art methods are trained and tested on custom datasets, making comparison across methods challenging. Furthermore, existing gaze estimation datasets have limited head pose and gaze variations, and the evaluations are conducted using different protocols and metrics. In this paper, we propose a new gaze estimation dataset called ETH-XGaze, consisting of over one million high-resolution images of varying gaze under extreme head poses. We collect this dataset from 110 participants with a custom hardware setup including 18 digital SLR cameras and adjustable illumination conditions, and a calibrated system to record ground truth gaze targets. We show that our dataset can significantly improve the robustness of gaze estimation methods across different head poses and gaze angles. Additionally, we define a standardized experimental protocol and evaluation metric on ETH-XGaze, to better unify gaze estimation research going forward.

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Advanced Interactive Technologies
https://ait.ethz.ch
Task
Image Classification
Annotation Types
Bounding Boxes
1083492
Items
28
Classes
1083492
Labels
Models using this dataset
Last updated on 
January 20, 2022
Licensed under 
Research Only
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