Number Recognition Computer Vision Project
Updated 3 years ago
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Here are a few use cases for this project:
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License Plate Recognition: The "Number Recognition" model can be used to identify and read license plate numbers and letters, which can be useful for law enforcement agencies or parking management systems.
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Document Digitization: This model could be useful in digitizing printed or hand-written texts like letters, forms, receipts, and invoices. Its ability to recognize an assortment of numbers and letters can simplify content extraction from these documents.
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Learning Tools: It can serve as the backbone of an educational app that helps children learn numbers and letters. Children can draw or select a figure, and the model can provide instant feedback on what number or letter it is.
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Postal Services: This model could aid in automatically reading postal codes or addresses on letters and parcels, thereby improving the speed and efficiency of sorting and delivery processes.
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Deciphering Captcha Verification: Companies or security agencies can use this model to test the strength of their captchas against automatic deciphers, ensuring their sites are secure from bots.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
number-recognition_dataset,
title = { Number Recognition Dataset },
type = { Open Source Dataset },
author = { Hayot Rahimov },
howpublished = { \url{ https://universe.roboflow.com/hayot-rahimov/number-recognition } },
url = { https://universe.roboflow.com/hayot-rahimov/number-recognition },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2021 },
month = { dec },
note = { visited on 2024-12-23 },
}