ETDs Computer Vision Project
Updated 3 years ago
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Here are a few use cases for this project:
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Academic Document Analysis: ETDs can be used for automatic extraction of metadata from academic papers, theses, and dissertations, which can facilitate better search results and automated classification for research databases and libraries.
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Document Accessibility: This model can be used to improve the accessibility of PDF documents for visually impaired users by identifying text regions, equations, and other elements to generate alternative text descriptions or implement text-to-speech technologies.
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Content Management Systems (CMS): ETDs can be implemented in content management systems to automatically generate metadata and tags for uploaded documents, streamlining organization and search functionality within the system.
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Academic Publishing Quality Control: ETDs can assist editors and publishers in ensuring a consistent layout and format for submitted documents by automatically identifying and flagging errors or inconsistencies in elements such as section headings, page numbers, and formatting.
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Automated Reference and Citation Checking: This computer vision model can identify reference texts and headings, which can be used to develop a tool that checks for correct citation formatting and verifies that all references are complete and properly cited in academic works.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
etds_dataset,
title = { ETDs Dataset },
type = { Open Source Dataset },
author = { new-workspace-nt9bx },
howpublished = { \url{ https://universe.roboflow.com/new-workspace-nt9bx/etds } },
url = { https://universe.roboflow.com/new-workspace-nt9bx/etds },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { apr },
note = { visited on 2024-11-21 },
}