Page Object Detection Computer Vision Project

Here are a few use cases for this project:

1. Academic Learning and Research: This model can be utilized in educational settings to automatically detect and catalog figures, tables, and formulas from various academic documents. This would make data more easily searchable for students and researchers.

2. Digital Library Management: Librarians and digital content managers can use this model to digitize print resources, detect and categorize the content (formulas, tables, figures) to make library resources more accessible and easy to navigate for users.

3. Newspaper and Magazine Digitization: Media organizations can use this model to efficiently digitize their print publications, categorizing and tagging formulas, tables, and figures to ease the process of archiving and retrieving specific content.

4. Content-based Information Retrieval: Companies working with large datasets of documents can use this model to identify and index figures and formulas, improving the efficiency and precision of their information retrieval systems.

5. Publishing Industry: Publishers can use this model in the production process to auto-detect and classify the distinct content components of a given page. Thus, helping in efficiently organizing content and providing quality control.