Qatar University

VADS

Object Detection

VADS Computer Vision Project

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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.

Last Updated

a year ago

Project Type

Object Detection

Subject

Accident

Views: 370

Views in previous 30 days: 4

Downloads: 17

Downloads in previous 30 days: 0

License

CC BY 4.0

Classes

0 1 Accident nonAccident