MV_Train_Data Computer Vision Project
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Description
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.
Use This Trained Model
Try it in your browser, or deploy via our Hosted Inference API and other deployment methods.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
mv_train_data_dataset,
title = { MV_Train_Data Dataset },
type = { Open Source Dataset },
author = { Moyed Chowdhury },
howpublished = { \url{ https://universe.roboflow.com/moyed-chowdhury/mv_train_data } },
url = { https://universe.roboflow.com/moyed-chowdhury/mv_train_data },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2025 },
month = { mar },
note = { visited on 2025-05-18 },
}