fichesmat

document segmenter

Object Detection

document segmenter Computer Vision Project

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Explore Dataset

Here are a few use cases for this project:

  1. Historical Document Analysis: Researchers and historians can use the document segmenter to identify, classify, and organize information from various types of historical documents, including handwritten letters and manuscripts, easing the task of extracting and analyzing data while preserving valuable archives.

  2. Personal Identification Verification: Governments and organizations can utilize the document segmenter to streamline the processing of identity documents (like passports or driver's licenses) by extracting relevant information such as name, date of birth, address, and other details, resulting in improved efficiency in application processing and background checks.

  3. Legal Document Processing: Law firms and legal departments can leverage the document segmenter to parse and classify data from court documents and contracts, assisting in case preparation by quickly identifying relevant sections and specific clauses.

  4. Public Record Management: The document segmenter can help in digitizing, cataloging, and retrieving public records (like land registries, marriage certificates, and birth/death records) to create a more efficient and accessible system for public administration and citizen services.

  5. Automated Data Extraction for Research: Researchers in various fields can use the document segmenter to automatically extract and classify data from hard-to-read publications or databases that have been poorly digitized, saving considerable time and effort while performing literature reviews or data analysis.

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

Cite This Project

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

@misc{
                            document-segmenter_dataset,
                            title = { document segmenter Dataset },
                            type = { Open Source Dataset },
                            author = { fichesmat },
                            howpublished = { \url{ https://universe.roboflow.com/fichesmat/document-segmenter } },
                            url = { https://universe.roboflow.com/fichesmat/document-segmenter },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { dec },
                            note = { visited on 2024-04-28 },
                            }
                        

Connect Your Model With Program Logic

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Source

fichesmat

Last Updated

5 months ago

Project Type

Object Detection

Subject

regions-lines-columns

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Views in previous 30 days: 5

Downloads: 0

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License

CC BY 4.0

Classes

adresse affectation dates decision details etat_civil instruction nom num_mat signalement