_seoul Computer Vision Project
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.
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 2024-06-18 },
}
Connect Your Model With Program Logic
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Source
Last Updated
2 years ago
Project Type
Object Detection
Subject
rooftop
Views: 26
Downloads: 1
