Detección de texto Computer Vision Project

DeteccionPalabras

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Description

Here are a few use cases for this project:

  1. Text Translation: "Detección de texto" can be used in translating physical texts in images in real-time. Users can point their camera at a book, sign, or paper with text and have that text quickly translated into their desired language.

  2. Digitizing Printed Books: The model could serve as a tool to digitize physical books and documents. Users can scan a printed book page, and the model can identify the Texto class, thus converting it into digital text.

  3. Reading Assistance for Visually Impaired: This model can be used to design applications that help visually impaired people to read texts from books, signs, or newspapers. The application can recognize the text and then read it out audibly.

  4. Automatic Data Entry: Companies can use "Detección de texto" for automatic data entry from physical documents, leading to significant time savings and accuracy improvements.

  5. Augmented Reality Education: In education, this model could be beneficial in AR applications by providing more interactive ways of learning. For example, when a student scans a picture from a book, an application could identify the text around the picture and provide detailed explanations.

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Cite This Project

LICENSE
CC BY 4.0

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

                        @misc{
                            deteccion-de-texto_dataset,
                            title = { Detección de texto Dataset },
                            type = { Open Source Dataset },
                            author = { DeteccionPalabras },
                            howpublished = { \url{ https://universe.roboflow.com/deteccionpalabras/deteccion-de-texto } },
                            url = { https://universe.roboflow.com/deteccionpalabras/deteccion-de-texto },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { nov },
                            note = { visited on 2024-12-01 },
                            }
                        
                    

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