DGAZE Dataset for driver gaze mapping on road
Isha Dua Thrupthi John Riya Gupta C.V. Jawahar
Mercedes Benz IIIT Hyderabad IIIT Hyderabad IIIT Hyderabad
IROS 2020
Dataset Overview
[ paper ]
We collected road videos using mobile phones mounted on the dashboards of cars driven in the city. We combined the road videos to create a single 18-minute video that had a good mix of road, lighting, and traffic conditions. The road images have varied illumination as the images are captured from morning to evening in the real cars on actual roads. For each frame, we annotated a single object belonging to one of the classes: car, bus, motorbike, pedestrian, auto-rickshaw, traffic signal and sign board. We also marked the center of each bounding box to serve as the groundtruth for the point detection challenge. We annotated objects that typically take up a driver's attention such as relevant signage, pedestrians, and intercepting vehicles.
Use Cases
Citation
All documents and papers that report research results obtained using the DGAZE dataset should cite the below paper:
Citation: Isha Dua, Thrupthi Ann John, Riya Gupta and C. V. Jawahar. DGAZE:Diver Gaze Mapping On Road In IROS 2020.
Bibtex
@inproceedings{isha2020iros,
title={DGAZE: Driver Gaze Mapping on Road},
author={Dua, Isha and John, Thrupthi Ann and Gupta, Riya and Jawahar, CV},
booktitle={2020 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2020},
year={2020}
}
Download Dataset
The DGAZE dataset is available free of charge for research purposes only. Please use the link below to download the dataset (password protected zip file). We request you to send a mail to Thrupthi Ann John and Isha Dua (contact details below) with the duly filled dataset agreement form, upon which we will send you the password. .
Disclaimer: While every effort has been made to ensure accuracy, DGaze database owners cannot accept responsibility for errors or omissions.
[Download Dataset Agreement ] [Download Dataset] [Download README]
Acknowledgements
We would like to thank Akshay Uttama Nambi and Venkat Padmanabhan from Microsoft Research for providing us with resources to collect DGAZE dataset. This work is partly supported by DST through the IMPRINT program. Thrupthi Ann John is supported by Visvesvaraya Ph.D. fellowship.
Contact
For any queries about the dataset, please contact the authors below:
Isha Dua:
Thrupthi Ann John: