table_segmentation Computer Vision Project

Here are a few use cases for this project:

1. Data Extraction from Complex Documents: The model could be used to segment and extract data from complex documents such as financial statements, invoices or reports. Its ability to identify lines and headers could help in parsing data accurately.

2. Improvement of Accessibility Features: The model could be deployed in applications for visually impaired people, helping them understand text-based data represented in tables by recognizing and vocally relaying the content of each cell organized by lines and headers.

3. Automating Data Conversion: The model could be used for automating conversion of printed tables into digital format. It can help in scanning books, research papers or old documents and convert tables in them into easily editable and searchable digital format.

4. Intelligent Data Analysis Tools: It could be incorporated into a Data Analysis Software to pull out specific table data from a large number of documents, thus making the data analysis process more efficient.

5. Aid in Educational Settings: The model can be used in educational tools to recognize and interpret table data for online learning systems, making studying more interactive and efficient, especially in subjects where tables are commonly used such as Statistics, Economics, and Sciences.