new_answer_sheet Computer Vision Project
Updated 3 years ago
Here are a few use cases for this project:
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Educational Institutions: Schools and universities could use this computer vision model to automate the process of grading multiple choice tests and assignments based on the objective, anchor, page, qrcode, and number data it provides.
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Digital Document Management Systems: This model could be used in systems responsible for archiving or categorizing different types of documents, making them easier to retrieve or refer to in the future.
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Data Extraction: Companies that need to extract data from paper-based forms or surveys could utilize this model to identify key information and digitize it more quickly and accurately.
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Anti-fraud Systems: The model could be used to help detect fraudulent test answer sheets in academic exams by identifying inconsistencies or anomalies in the objective, anchor, page, qrcode, or number data.
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Accessibility Applications: Assistive technologies could utilize this model to convert test sheets or other written materials into a digital format that can be read out for people with visual impairments.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
new_answer_sheet_dataset,
title = { new_answer_sheet Dataset },
type = { Open Source Dataset },
author = { Answer card },
howpublished = { \url{ https://universe.roboflow.com/answer-card/new_answer_sheet } },
url = { https://universe.roboflow.com/answer-card/new_answer_sheet },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2021 },
month = { dec },
note = { visited on 2024-12-31 },
}