LastNEW Computer Vision Project
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Here are a few use cases for this project:
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Security Systems: The LastNEW model could be used to identify characters in security footage such as license plates or signage, providing crucial information for investigations.
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Optical Character Recognition (OCR): It could be applied to branch out OCR to recognize both English and Arabic letters and numbers in different documents, especially in bilingual environments.
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Augmented Reality Translation Apps: This model can be useful to create an augmented reality translation app where the user can point their camera to a sign/numbers and get an immediate translation.
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Autonomous Vehicles: Autonomous vehicles can use this model to read traffic signs, license plates, etc., supporting more efficient and safer navigation.
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Educational Platforms: It can be used in e-learning platforms to create an interactive language learning tool which can identify and translate characters in real-world scenarios.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
lastnew_dataset,
title = { LastNEW Dataset },
type = { Open Source Dataset },
author = { ELM },
howpublished = { \url{ https://universe.roboflow.com/elm/lastnew } },
url = { https://universe.roboflow.com/elm/lastnew },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { aug },
note = { visited on 2024-12-22 },
}