Vehicle Tracking 3 Computer Vision Project
Updated a year ago
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downloadsHere are a few use cases for this project:
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Traffic Management: "Vehicle Tracking 3" model could be utilized for tracking and managing the flow of vehicles in city infrastructure. For instance, it can be used to identify congestion areas, detect wrong parking, or monitor peak hours of traffic movement.
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Security and Surveillance: The model is efficient in identifying different views of vehicles, which can be useful for surveillance systems to note suspicious vehicles or activities, such as a car following a person.
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Smart Parking Solution: The model can be used to design a smart parking solution where it can identify the different classes of vehicles to ensure efficient allocation of parking spots according to the size of the vehicle (bus, car, truck).
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Autonomous Vehicles: Self-driving vehicles could use this model for object and vehicle detection to better understand their environment and other vehicles' orientations on the road, aiding in safe navigation and accident prevention.
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Fleet Management: For companies managing a fleet of vehicles, this model could be used to track their system's vehicles and gather data related to their movement for operational optimization.
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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-tracking-3_dataset,
title = { Vehicle Tracking 3 Dataset },
type = { Open Source Dataset },
author = { University of Minnesota },
howpublished = { \url{ https://universe.roboflow.com/university-of-minnesota/vehicle-tracking-3 } },
url = { https://universe.roboflow.com/university-of-minnesota/vehicle-tracking-3 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { jun },
note = { visited on 2024-11-25 },
}