Break Captcha Life Computer Vision Project
Updated 3 years ago
Here are a few use cases for this project:
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Automated Accessibility: Improve accessibility for visually impaired or disabled users who struggle with solving Captchas by providing alternative methods for user verification, such as audio or text-based questions.
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CAPTCHA Improvement Research: Study the effectiveness of the current Captcha classes and develop more secure and user-friendly Captcha systems to prevent malicious automated bots from bypassing the security.
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Educational Tool: Teach machine learning and computer vision students and enthusiasts how to train and test models in recognizing and classifying Captcha characters, with the emphasis on proper use and ethical considerations.
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Data Entry Quality Assurance: Incorporate the "Break Captcha Life" model into data entry platforms to automatically verify Captcha solutions entered by human users, ensuring they have correctly solved the Captcha before submitting the form.
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Security Stress Testing: Test the robustness of various online platforms' Captcha systems by using the "Break Captcha Life" model to evaluate their susceptibility to automated attacks while adhering to responsible disclosure and ethical hacking practices.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
break-captcha-life_dataset,
title = { Break Captcha Life Dataset },
type = { Open Source Dataset },
author = { Navid },
howpublished = { \url{ https://universe.roboflow.com/navid-p4wgh/break-captcha-life } },
url = { https://universe.roboflow.com/navid-p4wgh/break-captcha-life },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2021 },
month = { oct },
note = { visited on 2024-11-21 },
}