Name: munitabs Dataset
License: https://choosealicense.com/licenses/mit/

Images

1643 images

Explore Dataset

Here are a few use cases for this project:

Document Management Systems: The "munitabs" model could support systems designed for managing, storing, retrieving, and sharing documents. It can identify tables and titles in scanned documents, making the filing and informational retrieval process more efficient.
Digitization of Historical Archives: This model can be used in museums, libraries or research institutions to identify and categorize tables and titles in historical documents, books, and manuscripts for digital archival and easy online access.
Academic Assistance: The model can be applied to help students and researchers scan through a vast amount of books or papers swiftly, identifying specific parts containing tables and titles for quicker absorption and understanding of material.
Data Extraction Software: Firms that transfer physical data into electronic formats can apply "Munitabs" to streamline the identification of important data or key points in physical documents, automatically recognizing tables and headers and breaking them down into a more digestible digital format.
Automated Content Summarization: Applications could use "munitabs" to identify tables and titles in complex reports, using these to provide quick summaries and highlight key information from the text.

Cite This Project

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

@misc{
                            munitabs_dataset,
                            title = { munitabs Dataset },
                            type = { Open Source Dataset },
                            author = { new-workspace-vf0ib },
                            howpublished = { \url{ https://universe.roboflow.com/new-workspace-vf0ib/munitabs } },
                            url = { https://universe.roboflow.com/new-workspace-vf0ib/munitabs },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2021 },
                            month = { nov },
                            note = { visited on 2024-04-26 },
                            }