Text Recognation Computer Vision Project

Computer Vision

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Description

Here are a few use cases for this project:

  1. License Plate Recognition: This model could be used for recognizing numbers on vehicle license plates, helping automate vehicle identification systems, toll collection, traffic violation monitoring, or parking management.

  2. Document Digitization: With its ability to recognize text characters, the model can be employed in digitizing printed documents, old books, manuscripts, or forms, converting them into machine-readable formats.

  3. Analyzing Financial Documents: The model could be used in the analysis of financial documents, such as invoices, receipts, or contracts, where it could extract numerical data for further processing or accounting purposes.

  4. Mathematical Problem-Solving: This could be suitable for creating educational apps where users solve math problems written on paper, and the app uses the model to identify the numbers and provide the correct solution.

  5. Price Tag Reading: In retail or e-commerce applications, the model can be used to automate the reading of product price tags or barcodes, making inventory management more efficient.

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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{
                            text-recognation-lb6dc_dataset,
                            title = { Text Recognation Dataset },
                            type = { Open Source Dataset },
                            author = { Computer Vision },
                            howpublished = { \url{ https://universe.roboflow.com/computer-vision-s7c8r/text-recognation-lb6dc } },
                            url = { https://universe.roboflow.com/computer-vision-s7c8r/text-recognation-lb6dc },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { aug },
                            note = { visited on 2024-11-25 },
                            }
                        
                    

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