Drownsy Dectetion v3 Computer Vision Project
This is a model which detects the status of people' alertness. To train this model, we cloned images of two exampled models which are: Dowsiness Image and Dowsiness Detection. Then, we changed and catergorised these images' labels into two kinds: 'buonngu' and 'tinhtao' . The results of this models can apply into detecting status of drivers' alertness and warning whenever the status describes 'buonngu'. However, this model just provides for our project purpose and there are some limitiations.
Trained Model API
This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.
YOLOv8
This project has a YOLOv8 model checkpoint available for inference with Roboflow Deploy. YOLOv8 is a new state-of-the-art real-time object detection model.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
drownsy-dectetion-v3_dataset,
title = { Drownsy Dectetion v3 Dataset },
type = { Open Source Dataset },
author = { Drowsiness Detection },
howpublished = { \url{ https://universe.roboflow.com/drowsiness-detection-uhhz5/drownsy-dectetion-v3 } },
url = { https://universe.roboflow.com/drowsiness-detection-uhhz5/drownsy-dectetion-v3 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { jan },
note = { visited on 2024-05-22 },
}
Connect Your Model With Program Logic
Find utilities and guides to help you start using the Drownsy Dectetion v3 project in your project.