Name: Total_Text_database Dataset
License: https://creativecommons.org/licenses/by/4.0/

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Explore Dataset

Here are a few use cases for this project:

Advertising Analysis: The model can be utilized by advertisers or marketing firms to analyze and understand the outreach and placement of their brand logos, catchphrases, and names in outdoor and indoor settings.
Graffiti Detection and Analysis: Municipalities or law enforcement agencies can use this tool to identify and catalog instances of graffiti, helping in tracking vandalism and understanding patterns in urban environments.
Assistive Technology: The model can be incorporated into applications to help visually impaired individuals identify and understand text in their surroundings, enhancing their ability to navigate independently.
Urban Planning and Infrastructure Maintenance: City planners or infrastructure management teams can use this tool to spot check and audit signage in a city for visibility, clarity, and compliance with local regulations.
Retail and Commercial Analysis: Retailers could use this model to analyze how effectively their store logos, signs, or advertisements are positioned and whether they are easily viewable or identifiable in various settings.

Cite This Project

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

@misc{
                            total_text_database_dataset,
                            title = { Total_Text_database Dataset },
                            type = { Open Source Dataset },
                            author = { EssamHaider },
                            howpublished = { \url{ https://universe.roboflow.com/essamhaider/total_text_database } },
                            url = { https://universe.roboflow.com/essamhaider/total_text_database },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { aug },
                            note = { visited on 2024-04-27 },
                            }