KANNAN-OVERFLOW Computer Vision Project
Updated 2 years ago
Metrics
Here are a few use cases for this project:
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Smart Traffic Monitoring: The KANNAN-OVERFLOW model can be used for monitoring traffic flow within a city, helping authorities identify peak times, frequent vehicle types, and potential problem areas.
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Autonomous Vehicles: It can be incorporated in self-driving car systems to help distinguish between different kinds of vehicles and pedestrians, enhancing safety and driving efficiency.
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Surveillance and Security: It can be used in video surveillance systems to detect and track different classes of vehicles and individuals, contributing to enhanced security in public or private spaces.
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Parking Management: The model can assist in smart parking systems, identifying incoming and outgoing vehicles or bikes, helping to control and plan the parking spaces optimally.
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Transportation Studies: Researchers and urban planners can use the model to carry out comprehensive transportation studies, understanding the mix of vehicle types, pedestrian movement, and devising policies accordingly.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
kannan-overflow_dataset,
title = { KANNAN-OVERFLOW Dataset },
type = { Open Source Dataset },
author = { KANNAN },
howpublished = { \url{ https://universe.roboflow.com/kannan-vdngt/kannan-overflow } },
url = { https://universe.roboflow.com/kannan-vdngt/kannan-overflow },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { jun },
note = { visited on 2024-12-27 },
}