Ambulance Object Detection Dataset and Pre-Trained Model by ambulance

Images

9013 images

Explore Dataset

Here are a few use cases for this project:

Emergency Response Management: The "Ambulance" model could aid in the prioritisation of traffic for emergency vehicles. By detecting the presence of an ambulance, a smart traffic management system can adjust traffic light signals to facilitate quick and clear passage.
Traffic Monitoring: The model could be integrated into a traffic monitoring system to detect and categorize vehicles on the road, including ambulances, thus contributing valuable data for traffic flow studies.
Fleet Management: City emergency services could use the model to monitor their fleet, ensuring that vehicles are adhering to designated routes and to track their real-time location during emergencies.
Accident Detection and Response: The model could be built into a system to detect traffic accidents. By identifying an ambulance in an unusual location or stationary for a long time, the system may infer an accident has occurred and alert local authorities.
Road Safety Applications: The "Ambulance" model could be used in driver assistance systems to alert drivers of approaching ambulances, helping to improve road safety.

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{
                            ambulance-sjpea_dataset,
                            title = { Ambulance Dataset },
                            type = { Open Source Dataset },
                            author = { ambulance },
                            howpublished = { \url{ https://universe.roboflow.com/ambulance-uj5pi/ambulance-sjpea } },
                            url = { https://universe.roboflow.com/ambulance-uj5pi/ambulance-sjpea },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { apr },
                            note = { visited on 2024-04-26 },
                            }