MV_Train_Data Computer Vision Project
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Here are a few use cases for this project:
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Sustainability Studies: This model could be used in sustainability research to efficiently identify the type of buildings according to their energy consumption patterns and suggest energy-saving strategies tailored for each energy class.
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Urban Planning: City planner can use this model to better understand the energy footprints of different neighborhoods, helping them improve their energy efficiency and even draft better policies for energy consumption.
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Energy Audit: Energy management companies can apply this model for an automated energy audit. Identifying the energy class of different buildings would improve the speed and accuracy of audits.
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Real Estate Market Analysis: This application could help real estate agencies and developers understand the energy efficiency levels of properties, which could impact prices and demand.
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Research and Education: Students and researchers in fields like civil engineering and architecture could use this model to understand the various factors affecting building energy consumption and explore measures to improve it.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
mv_train_data-m2qpp_dataset,
title = { MV_Train_Data Dataset },
type = { Open Source Dataset },
author = { Solinal IA },
howpublished = { \url{ https://universe.roboflow.com/solinal-ia/mv_train_data-m2qpp } },
url = { https://universe.roboflow.com/solinal-ia/mv_train_data-m2qpp },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { nov },
note = { visited on 2024-12-27 },
}