Question Answers Label Computer Vision Project

Question Answer Labelling

Updated 2 years ago

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Classes (7)
address
answer
column_header
header
other
question
vendor
Description

Here are a few use cases for this project:

  1. Digital Document Management: This model can be used to effectively organize and manage digital documents. By identifying areas such as headers, addresses, and vendors, it could streamline workflows in companies dealing with large amounts of papers, forms or invoices.

  2. Automated Data Extraction: The model could be used in extracting pertinent information from documents automatically. For example, pulling out questions and answers from educational materials, extracting vendor or address information from invoices, or grabbing column headers from statistical reports.

  3. Augmented Reality (AR) Applications: "Question Answers Label" can be utilized in AR glasses to give real-time information about objects a user sees, especially in the realm of paper documents.

  4. Virtual Assistance: This model may be used to build a virtual assistant capable of reading and understanding physical documents. For instance, reading out a user's mail, helping learning from textbooks, or assisting in reviewing legal documents.

  5. Accessibility Tools for Visually Impaired: The tool could be utilized to interpret written documents for visually impaired people by identifying and vocalizing text based on their classes (answers, questions, headers, etc).

Supervision

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Cite This Project

LICENSE
CC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

                        @misc{
                            question-answers-label_dataset,
                            title = { Question Answers Label Dataset },
                            type = { Open Source Dataset },
                            author = { Question Answer Labelling },
                            howpublished = { \url{ https://universe.roboflow.com/question-answer-labelling/question-answers-label } },
                            url = { https://universe.roboflow.com/question-answer-labelling/question-answers-label },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { nov },
                            note = { visited on 2024-11-21 },
                            }
                        
                    

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