Vehicle detection Object Detection Dataset and Pre-Trained Model by Sahrdaya

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3765 images

Explore Dataset

Here are a few use cases for this project:

Traffic Management Systems: Use the "Vehicle detection" model to regulate traffic flow, identify traffic violations, and recognize different types of vehicles on the road, which could lead to more efficient transit systems and improved road safety.
Surveillance and Security: Deploy the model in surveillance systems to detect and track specific types of vehicles, particularly useful for identifying unauthorized or suspicious vehicles in certain areas.
Autonomous Vehicles: Implement the model in self-driving cars to enable them to identify and differentiate between various vehicle types for safer navigation and traffic maneuvering.
Parking Facility Management: Use the model in parking lots and garages to ascertain the types of parked vehicles, automate the parking process, and efficiently allocate spaces based on vehicle classes.
Road Maintenance and Planning: Apply the model for traffic data collection followed by analysis on traffic patterns and transportation planning. It can help identify the predominant type of vehicles on particular routes, assisting in better road maintenance and future infrastructure planning.

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{
                            vehicle-detection-pxftz_dataset,
                            title = { Vehicle detection Dataset },
                            type = { Open Source Dataset },
                            author = { Sahrdaya },
                            howpublished = { \url{ https://universe.roboflow.com/sahrdaya/vehicle-detection-pxftz } },
                            url = { https://universe.roboflow.com/sahrdaya/vehicle-detection-pxftz },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { apr },
                            note = { visited on 2024-04-28 },
                            }