Drowsiness Detection Computer Vision Project
Updated a month ago
Overview
The Drowsiness dataset is a collection of images of a person in a vehicle (Ritesh Kanjee, of Augmented Startups) simulating "drowsy" and "awake" facial postures. This dataset can easily be used as a benchmark for a "driver alertness" or "driver safety" computer vision model.
Example Footage!
Training and Deployment
The Drowsiness model has been trained with Roboflow Train, and available for inference on the Dataset tab. We have also trained a YOLOR model for robust detection and tracking of a fatigued driver. You can learn more here: https://augmentedstartups.info/YOLOR-Get-Started
About Augmented Startups
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
drowsiness-detection-cntmz-izq7w_dataset,
title = { Drowsiness Detection Dataset },
type = { Open Source Dataset },
author = { yolov5 },
howpublished = { \url{ https://universe.roboflow.com/yolov5-7gacb/drowsiness-detection-cntmz-izq7w } },
url = { https://universe.roboflow.com/yolov5-7gacb/drowsiness-detection-cntmz-izq7w },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { dec },
note = { visited on 2024-12-30 },
}