Vehicle detector Computer Vision Project
Updated 2 years ago
Metrics
Here are a few use cases for this project:
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Traffic Management: The model can be used by traffic control systems to monitor traffic and identify various vehicles on the road. This can help in traffic management, detection of traffic congestion and enforcement of traffic rules.
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Parking Systems: In self-parking systems, the model can help identify the type of vehicle and manage the parking space accordingly. This can also help in the automated toll collection at paid parking facilities.
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Autonomous Vehicles: Self-driving car systems can use the "Vehicle detector" model to identify other vehicles in their vicinity, this can help in enhancing navigation and maintaining safe distances from other vehicles.
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Surveillance and Security: The model can be used in surveillance systems to monitor and identify vehicles in sensitive areas. It can help in restricting unauthorized vehicles and also in crime prevention by tracking suspicious vehicles.
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Insurance Services: The model can be utilized by insurance companies to automatically identify the class of vehicle in case of accidents or theft, which can help in the claim process. It can also be used for risk assessment for auto insurance quoting.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
vehicle-detector-umlny_dataset,
title = { Vehicle detector Dataset },
type = { Open Source Dataset },
author = { Vehicle Detection },
howpublished = { \url{ https://universe.roboflow.com/vehicle-detection-bpept/vehicle-detector-umlny } },
url = { https://universe.roboflow.com/vehicle-detection-bpept/vehicle-detector-umlny },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { may },
note = { visited on 2024-12-27 },
}