_seoul Computer Vision Project
Updated 3 years ago
Here are a few use cases for this project:
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Urban Planning and Development: _seoul can help urban planners map and categorize rooftops in Seoul, facilitating better decision-making on housing policies, public building allocations, and smart city infrastructure.
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Solar Panel Installation: Analyzing rooftop classes allows energy companies to identify viable locations for solar panel installations, maximizing solar energy production in Seoul and promoting sustainable energy solutions.
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Rooftop Greening Initiatives: The model can aid in pinpointing suitable rooftop types for implementing green spaces, contributing to environmental sustainability goals and providing recreational spots for city residents.
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Emergency Response and Evacuation Planning: By identifying rooftop types in high-density urban areas, _seoul can support the development of optimized evacuation and rescue strategies for emergency response teams during natural disasters or incidents.
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Infrastructure Maintenance: By classifying rooftops, the model can help prioritize inspection and maintenance needs, allowing authorities to proactively address potential structural issues and reduce the risk of accidents or damage.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
_seoul_dataset,
title = { _seoul Dataset },
type = { Open Source Dataset },
author = { roofs },
howpublished = { \url{ https://universe.roboflow.com/roofs/_seoul } },
url = { https://universe.roboflow.com/roofs/_seoul },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { apr },
note = { visited on 2024-11-16 },
}