VADS Computer Vision Project
TRY THIS MODEL
Drop an image or
We are undergraduate senior students from Qatar University working on our senior project, which is creating an intelligent system that detects vehicle accidents without the need for any user interaction. The system will highly depend on using an AI model to detect accidents in addition to a hardware device that will be implemented in the vehicles.
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.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
vads_dataset,
title = { VADS Dataset },
type = { Open Source Dataset },
author = { Qatar University },
howpublished = { \url{ https://universe.roboflow.com/qatar-university-8ugj6/vads } },
url = { https://universe.roboflow.com/qatar-university-8ugj6/vads },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { may },
note = { visited on 2024-05-10 },
}
Connect Your Model With Program Logic
Find utilities and guides to help you start using the VADS project in your project.
Similar Projects
Accident-tSXO-K7tN
1139 images
ac
7756 images
Accident-5nr7
229 images
Vehicle
1341 images
Car-Motorcycle-Truck-Bus-Acciden
4210 images