letters_captcha Computer Vision Project
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Here are a few use cases for this project:
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CAPTCHA Solving: The primary use case of this computer vision model could be for the automatic solution of textual or alphanumeric captchas to aid in web scraping or data harvesting where manual captcha solving is not feasible.
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Automated Document Reading: This model could be employed in the automatic reading and interpretation of scanned documents, such as invoices, forms, or handwritten notes, where the letters and symbols listed are common.
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Assistive Technology: The model can be used to develop applications that help visually impaired or dyslexic individuals read printed text or handwritten notes by identifying and vocalizing the characters.
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License Plate Recognition: This model could be adapted for automatic license plate recognition systems useful in traffic enforcement, parking management, and security access control areas.
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Learning Aid: The model can be utilized in developing educational applications/software to aid children in learning and recognizing characters, punctuation, and symbols, reinforcing literacy skills.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
letters_captcha_dataset,
title = { letters_captcha Dataset },
type = { Open Source Dataset },
author = { Ruslan Safarov },
howpublished = { \url{ https://universe.roboflow.com/ruslan-safarov-bbfgy/letters_captcha } },
url = { https://universe.roboflow.com/ruslan-safarov-bbfgy/letters_captcha },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { aug },
note = { visited on 2024-11-21 },
}