Saved datasets
Last updated
Download format
Usage rights
License from data provider
Please review the applicable license to make sure your contemplated use is permitted.
Topic
Provider
Free
Cost to access
Described as free to access or have a license that allows redistribution.
3 datasets found
  1. R

    ETDs910-930 Dataset

    • universe.roboflow.com
    zip
    Updated Mar 31, 2022
  2. m

    Data from: Figure Plagiarism Detection

    • data.mendeley.com
    Updated May 7, 2017
  3. d

    Figure Plagiarism Detection - Dataset - B2FIND

    • b2find.dkrz.de
    Updated May 9, 2017
  4. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
new-workspace-nt9bx (2022). ETDs910-930 Dataset [Dataset]. https://universe.roboflow.com/new-workspace-nt9bx/etds910-930

ETDs910-930 Dataset

Explore at:
zipAvailable download formats
Dataset updated
Mar 31, 2022
Dataset authored and provided by
new-workspace-nt9bx
License

CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically

Variables measured
Metadata Bounding Boxes
Description

Here are a few use cases for this project:

  1. Academic Research Categorization: Researchers can use this model to scan and understand academic papers quickly. This would be particularly useful when working on a literature review, where hundreds of articles might be scanned to find relevant content.

  2. Document Organization in Libraries: Libraries can use this model to help properly catalog and classify new books by scanning text to accurately identify the various metadata components.

  3. Proofreading Tool for Publishers: The model could be used by publishing companies to check the structure of written content, ensuring all elements such as title, author, chapters, etc., are present and in the correct place.

  4. Plagiarism Detection: Universities could use the model to help detect plagiarized works, as the model can extract the author, university, date, and other elements to cross-check databases.

  5. Data Extraction and Analysis Tool: Companies can use the model to extract data from reports, documents, and whitepapers for further analysis. By recognizing elements like graphs, tables and figure captions, the model ensures all relevant information is captured.

Search
Clear search
Close search
Google apps
Main menu