Orginal_V9_WithAug Computer Vision Project
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Here are a few use cases for this project:
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Traffic Management: The AU-INV-P model can be integrated with city traffic systems to automate traffic management by identifying different types of vehicles, thereby optimizing traffic signals and reducing congestion.
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Parking Enforcement: This model can be used to automate parking enforcement by identifying vehicle types in specific parking zones. Authorities can easily manage parking lots designated specifically for cars, bikes, trucks, etc.
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Transportation Business Analysis: Logistics and transportation companies can use this model to classify and count the number of each vehicle type present in a certain area or on a specific route to analyze business metrics and monitor cargo movement.
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Road Safety Improvement: Authorities can use the AU-INV-P model to automize traffic rule enforcement such as cab, bus and truck restrictions in specific lanes or zones. This could help improve overall road safety.
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Fleet Management: Rental companies, cab services, and other fleet business operators can use the model to monitor and segregate their vehicles effectively, which could improve operational efficiency.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
orginal_v9_withaug_dataset,
title = { Orginal_V9_WithAug Dataset },
type = { Open Source Dataset },
author = { MYDATASET },
howpublished = { \url{ https://universe.roboflow.com/mydataset-zvvd9/orginal_v9_withaug } },
url = { https://universe.roboflow.com/mydataset-zvvd9/orginal_v9_withaug },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { aug },
note = { visited on 2024-11-21 },
}