Visual Pollution Computer Vision Project
Updated a year ago
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Here are a few use cases for this project:
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Urban Planning and Maintenance: City planning authorities can use the "Visual Pollution" model to monitor and evaluate road conditions, identify potholes, evaluate sidewalks, and observe garbage levels. This data can then inform maintenance schedules and urban improvement efforts.
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Environmental Conservation: Environmental agencies could use this model to analyze visual pollution levels in various regions. It could help quantify the impact of littering and pollution on the environment, aiding in advocacy and conservation efforts.
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Traffic and Safety Management: Transport authorities could use this model to identify defective speed bumps and construction road, which would enable more efficient planning of road repairs and enhancing road safety.
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Smart Cities Development: As part of a broader smart city initiative, the model could be used alongside other technology to create a live, up-to-date database of city conditions, aiding with everything from waste management to infrastructure improvements.
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Real Estate and Neighborhood Assessments: Real estate agencies and homebuyers could use this model to evaluate neighborhood cleanliness and infrastructure quality, which can influence property values and relocation decisions.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
visual-pollution-pc2as_dataset,
title = { Visual Pollution Dataset },
type = { Open Source Dataset },
author = { Visual Pollution },
howpublished = { \url{ https://universe.roboflow.com/visual-pollution-056la/visual-pollution-pc2as } },
url = { https://universe.roboflow.com/visual-pollution-056la/visual-pollution-pc2as },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { jan },
note = { visited on 2024-11-21 },
}