FaceCar Computer Vision Project
Iago
Updated 2 years ago
326
views24
downloadsTags
Classes (9)
Description
- 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.
Build Computer Vision Applications Faster with Supervision
Visualize and process your model results with our reusable computer vision tools.
Cite This Project
LICENSE
CC BY 4.0 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 2024-11-16 },
}