all_scanned_docs Computer Vision Project
Updated 2 years ago
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downloadsHere are a few use cases for this project:
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"Digital Library Optimization": The "all_scanned_docs" model can be implemented in digital libraries to swiftly categorize and organize the scanned documents based on the metadata, enriching the searching experience for researchers and students.
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"Academic Resource Management": Higher education institutions can use the model to automate the sorting and referencing of academic documents like dissertations, theses, project reports, and research papers.
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"Legal Document Classification": Government agencies and law firms can implement this model to scan and categorize legal documents quickly, helping to identify and organize specific legal clauses, references, and case numbers.
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"Document Verification": HR and recruitment agencies can use this model for filtering through CVs/resumes, certificates, and other professional documents, helping in efficient document verification and applicant screening.
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"Automated Publishing House": The model can be incorporated to automate the process in a publishing house, aiding in detailed manuscript analysis, including chapters, figures, tables, references, and more. This could speed up the reviews and proofreading of drafts substantially.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
all_scanned_docs_dataset,
title = { all_scanned_docs Dataset },
type = { Open Source Dataset },
author = { new-workspace-nt9bx },
howpublished = { \url{ https://universe.roboflow.com/new-workspace-nt9bx/all_scanned_docs } },
url = { https://universe.roboflow.com/new-workspace-nt9bx/all_scanned_docs },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { oct },
note = { visited on 2024-11-21 },
}