table-structure-recognition-final Computer Vision Project
Updated 13 days ago
506
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Here are a few use cases for this project:
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Digital Archiving: This model can be used to digitize tables or tabular data from old books, journals, articles, or physical documents. This would be highly beneficial for libraries, research institutions, and museums.
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Data Extraction: Companies or researchers focusing on big data might find this model useful for extracting and structuring data from numerous documents in a very short period, eliminating manual labor and saving time.
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Accessibility: The model can help create more accessible digital formats for people with visual impairments by identifying and describing tables within documents or webpages.
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Invoice Processing: Companies dealing with numerous invoices, receipts or order forms can use this model to automate the extraction of tabular information.
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Educational Resource Building: Educators can leverage this model to create interactive and engaging digital resources from traditional textbooks or study materials containing tables. This can transform how students learn complex subjects.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
table-structure-recognition-final_dataset,
title = { table-structure-recognition-final Dataset },
type = { Open Source Dataset },
author = { celldetection },
howpublished = { \url{ https://universe.roboflow.com/celldetection-npo3o/table-structure-recognition-final } },
url = { https://universe.roboflow.com/celldetection-npo3o/table-structure-recognition-final },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { nov },
note = { visited on 2024-11-21 },
}