Roadside Parking Computer Vision Project
Updated 3 years ago
Here are a few use cases for this project:
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Smart Parking: This model can be used to develop intelligent parking systems to monitor roadside parking. It can help systems identify available parking slots by distinguishing between cars, motorcycles, and empty spaces.
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Traffic Management: The model can facilitate traffic flow analysis by detecting parked cars and motorcycles on busy streets. Traffic management systems can use this information to assess how roadside parking affects the overall traffic condition and planning.
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Law Enforcement: Authorities can use this model to monitor and enforce parking regulation adherence. For example, identifying illegally parked vehicles in restricted zones or those exceeding parking time limits.
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Urban Planning: City planners can use this model to better understand parking patterns and needs in various urban areas. This could influence decision-making in areas such as infrastructure development, public transportation planning, and zoning regulations.
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Insurance Assessment: Insurance companies can use this model to analyze roadside parking's safety in specific neighborhoods or areas, impacting insurance premium calculations for clients who frequently park their vehicles on the street.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
roadside-parking_dataset,
title = { Roadside Parking Dataset },
type = { Open Source Dataset },
author = { 3883zn@gmail.com },
howpublished = { \url{ https://universe.roboflow.com/3883zn-gmail-com/roadside-parking } },
url = { https://universe.roboflow.com/3883zn-gmail-com/roadside-parking },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { mar },
note = { visited on 2024-12-22 },
}