all_digital_etds Computer Vision Project

Here are a few use cases for this project:

1. Digital Library Management: The "all_digital_etds" model can be used to automatically identify and categorize metadata elements in electronic theses and dissertations, making it easier for users to search, browse, and access relevant documents in a digital library.

2. Automated Academic Publishing: Publishers and academic institutions can use the computer vision model to facilitate the process of formatting and cataloguing academic papers, theses, and dissertations by extracting and organizing relevant metadata.

3. Academic Citation Assistance: Researchers can use the model to identify reference texts and footnotes, enabling the creation of a citation database or assistance in the development of reference lists for academic papers quickly.

4. Accessibility Improvement: By identifying various metadata classes, the "all_digital_etds" model can assist in making academic documents more accessible for people with disabilities by providing information to help with the creation of navigable audio transcripts, e-books or other accessible formats that comply with accessible design standards.

5. Educational Resource Curation: Educators and institutions can use the computer vision model to filter and categorize digital educational resources, creating a robust and searchable collection of academic resources for students, researchers, and professionals to easily access and review.