CUBE

USA-Jurisdiction-Adobe-Annotations

Object Detection

Roboflow Universe CUBE USA-Jurisdiction-Adobe-Annotations

USA-Jurisdiction-Adobe-Annotations Computer Vision Project

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710 images
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Here are a few use cases for this project:

  1. Legal Document Analysis: This computer vision model can be used for analyzing legal documents within the US jurisdictions. By identifying the different components such as titles, headings, footnotes, and issuance dates, it can assist legal professionals in faster extraction of critical information, document review, and case preparations.

  2. Government Forms Automation: The model can help in automating the processing of various government forms, such as applications, permits, and registrations. By identifying specific elements within the form, it can extract relevant information and speed up the processing time, reducing manual labor and human errors.

  3. Accessibility Aid: This model can be used to develop applications that aid visually impaired individuals to navigate through printed or digital documents. By identifying and classifying the different text components such as paragraphs, headings, and lists, it can improve the accessibility of essential information in text-to-speech or other accessible formats.

  4. Content Organization: The model can be employed by content management systems (CMS) in order to automatically categorize and organize large amounts of unstructured text data. This can streamline various content management processes, such as creating tags, titles, and headings, leading to improved searchability and navigation within the CMS.

  5. Historical Document Digitization: With the ability to identify and classify different elements of text documents, the model can play a significant role in digitizing historical documents or archives. By distinguishing between various content types such as headings, figures, and tables, it can help historians and researchers in better understanding and cataloging valuable historical resources.

Cite This Project

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

@misc{
                            usa-jurisdiction-adobe-annotations_dataset,
                            title = { USA-Jurisdiction-Adobe-Annotations Dataset },
                            type = { Open Source Dataset },
                            author = { CUBE },
                            howpublished = { \url{ https://universe.roboflow.com/cube/usa-jurisdiction-adobe-annotations } },
                            url = { https://universe.roboflow.com/cube/usa-jurisdiction-adobe-annotations },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { jul },
                            note = { visited on 2024-03-28 },
                            }
                        

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Source

CUBE

Last Updated

2 years ago

Project Type

Object Detection

Subject

adobe-finetune

Views: 83

Views in previous 30 days: 0

Downloads: 4

Downloads in previous 30 days: 0

License

CC BY 4.0

Classes

figure footer footnote header heading issuance date list paragraph table title