vehicle-detection Computer Vision Project
Here are a few use cases for this project:
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Traffic Management and Surveillance: This model can be used in traffic management systems to monitor and track different vehicle types on the road, enabling real-time updates on traffic conditions and anticipating congestion.
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Smart Parking Solutions: The model can be employed in smart parking lots to identify vehicle types and guide drivers to suitable parking spaces accordingly. It can also help in count vehicles ensuring efficient usage of parking space.
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Road Safety Applications: The system can be implemented in road safety devices to identify the incoming vehicle type, providing alerts for pedestrian and driver safety (e.g., alerting pedestrians about oncoming trucks or buses).
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Vehicle Classification in Transportation Research: The model can serve transportation research by classifying vehicles on highways, assisting in studies related to vehicle frequency, type variation, road usage, and emission levels.
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Autonomous Vehicles: This vehicle-detection model can be integrated into the system of self-driving cars to identify other vehicles on the road, aiding in decision-making for safe navigation and collision avoidance.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
vehicle-detection-by9xs_dataset,
title = { vehicle-detection Dataset },
type = { Open Source Dataset },
author = { lynkeus03 },
howpublished = { \url{ https://universe.roboflow.com/lynkeus03/vehicle-detection-by9xs } },
url = { https://universe.roboflow.com/lynkeus03/vehicle-detection-by9xs },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { jul },
note = { visited on 2024-04-18 },
}
Connect Your Model With Program Logic
Find utilities and guides to help you start using the vehicle-detection project in your project.
