FaceCar Computer Vision Project
- The FaceCar project have as goal to create an efficient way to detect drowsy and fatigue in the driver of an autonomous vehicle, so in cases where the the vehicle isn't 100% responsive the driver should keep atenttion to the road and traffic, avoiding accidents caused by the inefficiency of the autonomous system.
- We are current using the YOLOv5 algorithm to detect the driver state, so this dataset has been used to train and study how to improve the accuracy of this method.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
facecar_dataset,
title = { FaceCar Dataset },
type = { Open Source Dataset },
author = { Iago },
howpublished = { \url{ https://universe.roboflow.com/iago/facecar } },
url = { https://universe.roboflow.com/iago/facecar },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { oct },
note = { visited on 2024-04-24 },
}
Connect Your Model With Program Logic
Find utilities and guides to help you start using the FaceCar project in your project.
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