vehical-detection Computer Vision Project
Updated 3 years ago
Here are a few use cases for this project:
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Traffic Management: This model can be used by city traffic management systems to optimize traffic control settings such as red-light durations, based on vehicle types and density.
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Parking Monitoring: The model can aid in the effective management of parking spaces in shopping malls, airports, or city centers, identifying available slots based on the observed vehicles' sizes.
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Surveillance Systems: The integration of this model into CCTV networks can help security systems or law enforcement identify specific vehicles in real-time, potentially assisting in cases of stolen vehicles or hit-and-run incidents.
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Autonomous Vehicles: Self-driving cars can use this model to identify and navigate around other vehicles on the road, improving their decision-making process and promoting safer transportation.
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Analysis of Public Transport Performance: Transportation authorities can apply this model to analyze the frequency and regularity of bus services by counting the number of buses passing a specific point.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
vehical-detection_dataset,
title = { vehical-detection Dataset },
type = { Open Source Dataset },
author = { ravi },
howpublished = { \url{ https://universe.roboflow.com/ravi-twhkr/vehical-detection } },
url = { https://universe.roboflow.com/ravi-twhkr/vehical-detection },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { jun },
note = { visited on 2025-01-18 },
}