SEGV2 Computer Vision Project
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Here are a few use cases for this project:
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Assisting in Interior Design: SEGV2 can be used by architects and interior designers to identify different floor types in a floor plan, helping in the selection and placement of furniture and other elements according to the unique characteristics of each floor class.
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Augmented Reality Applications: SEGV2 can be used in AR applications for enhancing user experience by recognizing floor types, enabling users to visualize how different flooring options would look in their homes or office spaces before making purchase decisions.
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Home and Building Maintenance: The model can help facility managers and homeowners in identifying specific floors that require maintenance, repair, or inspection for structural integrity, making it easier to prioritize tasks and allocate resources efficiently.
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Robotics Navigation: Autonomous robots like vacuum cleaners and delivery systems can utilize SEGV2 for better navigation by identifying and understanding different floor types and their unique properties, allowing for improved adaptability and optimization of cleaning, navigation, or delivery strategies.
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Accessibility and Safety Planning: SEGV2 can aid city planners and architects in identifying different floor classes in public spaces, enabling the implementation of tailored accessibility and safety features, such as installing the right slip-resistant materials on a particular type of flooring or deploying specific warning signs for visually impaired people.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
segv2-irwnd_dataset,
title = { SEGV2 Dataset },
type = { Open Source Dataset },
author = { Mapping Test },
howpublished = { \url{ https://universe.roboflow.com/mapping-test/segv2-irwnd } },
url = { https://universe.roboflow.com/mapping-test/segv2-irwnd },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { dec },
note = { visited on 2024-12-18 },
}