levha_son Computer Vision Project
Updated 3 years ago
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downloadsHere are a few use cases for this project:
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Traffic Management Systems: The model can be used to identify different road signs for automated systems like self-driving cars, traffic surveillance systems, etc. It can be crucial for decision making, helping maintain road safety.
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Educational Apps for Driving Tests: "levha_son" can be used in an educational app that helps users learn about different traffic signs and symbols, preparing them for written and practical driving tests.
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Virtual Reality Simulators: The model can be employed in VR-based driving or traffic simulators, identifying real-world road signs. This can create a more immersive training platform for driving students.
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Road Infrastructures Planning: The model can be used in analysis and planning of road infrastructures. By recognising common signage, it can help planners design more intuitive and safe road networks.
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Assistive Technology for Visually Impaired: The model may be integrated within devices or apps designed for visually impaired individuals, helping them navigate by identifying and vocalizing traffic signs.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
levha_son-ejmhv_dataset,
title = { levha_son Dataset },
type = { Open Source Dataset },
author = { Batuhan Kutlar },
howpublished = { \url{ https://universe.roboflow.com/batuhan-kutlar-wycfc/levha_son-ejmhv } },
url = { https://universe.roboflow.com/batuhan-kutlar-wycfc/levha_son-ejmhv },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { may },
note = { visited on 2024-12-22 },
}