Object Detection Computer Vision Project

Here are a few use cases for this project:

1. Academic Publishing Assistance: The Object Detection model can be used to streamline the formatting and organization of academic papers, theses, and dissertations by automatically identifying various components such as figures, equations, sections, and reference texts.

2. Accessibility Enhancement: The model can help create accessible versions of text documents for visually impaired individuals by detecting and labeling different elements, enabling screen readers and assistive technologies to navigate and interpret the content more effectively.

3. Document Management and Search: The Object Detection model can be used to index and classify document elements for easy search and retrieval in libraries, archives, and content management systems, making it easier to find specific sections or components within large collections.

4. OCR Post-Processing: After converting a scanned or an image-based document into digital text using Optical Character Recognition (OCR), the Object Detection model can be applied to identify misidentified, broken, or fragmented elements like equations or figures, and help enhance the accuracy of OCR output by correcting and reorganizing the extracted information.

5. Automated Editing and Proofreading Tools: The Object Detection model can be integrated into word processing software and online writing applications to provide automated assistance in ensuring consistency and adherence to formatting and citation style guides (e.g., APA, MLA, or Chicago) by detecting, labeling, and correcting document elements as needed.