char Computer Vision Project

nesma

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Description

Here are a few use cases for this project:

  1. License Plate Recognition: This model can be utilized to recognize alphanumeric characters on license plates, especially in traffic monitoring systems or parking facilities to track vehicles.

  2. Character Recognition on Objects: Since it has the ability to recognize a wide range of characters as well as generic objects, it could be used in warehouse environments to identify and sort packages based on labelling on the packages.

  3. Educational Purpose: It can be used as an educational tool to help children learn about different letters, numbers, and objects. By capturing images or video feeds, children can identify different letters and items in real-world scenarios.

  4. Security System: This computer vision model can serve as an application for security systems, where it's able to identify vehicle types and license plates, offering valuable information for surveillance and investigation.

  5. Arabic Character Recognition: The model identifies Arabic characters as well. It can work as an automatic text recognition system for Arabic script in images like road signs, buildings, or any outdoor scene, making it very useful in applications related to navigation or translating Arabic signs in real-time.

Supervision

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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{
                            char-wtmel_dataset,
                            title = { char Dataset },
                            type = { Open Source Dataset },
                            author = { nesma },
                            howpublished = { \url{ https://universe.roboflow.com/nesma-glpw8/char-wtmel } },
                            url = { https://universe.roboflow.com/nesma-glpw8/char-wtmel },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jul },
                            note = { visited on 2024-11-23 },
                            }
                        
                    

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