PeriodicosDataset Computer Vision Project

USFQ

Updated 2 years ago

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Classes (7)
Fecha
Pagina
Página
Seccion
Sección
TextRegion
Titulo

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Description

Here are a few use cases for this project:

  1. Historical Research: The model could be used by researchers and historians to extract and analyze information from old digitized newspapers. By identifying title, date, and page, it allows them to track chronological events and understand the social, political, and economic context better.

  2. Digital Library Cataloging: This model could help digital libraries in cataloging their newspaper collections. Identifying the different elements (title, date, page) can aid in creating a more refined and exact database, making it easier for users to find the exact newspaper issue they are looking for.

  3. News Monitoring: Media tracking or Public Relations companies can use the model to monitor coverage about a specific event or brand. By identifying text regions and titles it could help in finding articles about a particular subject over a wide range of published newspapers.

  4. Educational Purpose: It can be used for teaching journalism or communication students about the evolution of news-writing styles, formats, and layout designs by observing differences across time and different types of newspapers.

  5. Content Recommendation: For a digital news platform, this model could analyze the users' reading habits (type of title, section, or day of reading most frequently) and recommend similar content to enhance user engagement.

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Cite This Project

LICENSE
MIT

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

                        @misc{
                            periodicosdataset-dzmll_dataset,
                            title = { PeriodicosDataset Dataset },
                            type = { Open Source Dataset },
                            author = { USFQ },
                            howpublished = { \url{ https://universe.roboflow.com/usfq-lhupe/periodicosdataset-dzmll } },
                            url = { https://universe.roboflow.com/usfq-lhupe/periodicosdataset-dzmll },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jun },
                            note = { visited on 2024-12-24 },
                            }
                        
                    

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