MARMOT_Corrections Computer Vision Project

Here are a few use cases for this project:

1. Academic Research Support: This model could be used by academic researchers or students to quickly identify and sort various types of data (e.g., figures, formulas, and tables) in large document sets such as academic journals, textbooks or research papers for more efficient literature review or data extraction.

2. Digital Library Management: The model can help digital libraries in improving their search algorithms, allowing users to find specific kinds of data such as tables, equations, or pseudo-codes within a large amount of digital content.

3. Data Extraction for Accessibility: The model can be implemented in platforms/applications designed to assist visually impaired individuals by extracting and converting different PageObjects into speech or Braille.

4. News Analysis: In media and journalism, this could be used for automated analysis of newspapers - identifying, extracting and analyzing different elements like tables or pseudo-code in printed or online media to generate insights or summaries.

5. Improving OCR Capabilities: OCR tools could use this model to improve their performance by understanding the different PageObjects in a document and handling them appropriately, increasing the accuracy of text recognition especially in complex layouts like newspapers or magazines.