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02_india_second_1000 Computer Vision Project

zzzullluzzz

Updated 2 years ago

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Object Detection Model
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Description

Here are a few use cases for this project:

  1. Document Processing: The model could be used in a workflow to automate the processing of documents or forms that have been filled out in a combination of handwritten or machine-written English and Russian characters, converting images of these texts into editable, searchable forms.

  2. License Plate Recognition: The model can be used to recognize license plates from different countries, especially useful for traffic control systems, law enforcement agencies, or automated toll collection systems.

  3. Educational Software: The model can be included in educational software or games to help students with alphabet recognition in different languages or simulate real-world activities like typing and writing.

  4. Captcha Solver: This model can be used to develop a captcha solver system that can identify and interpret text-based captcha, providing accessibility solutions for visually impaired users.

  5. Historic Text Digitization: The model could be used to digitize old scripts or documents printed in non-standard fonts or handwritten texts, aiding in digitization and preservation of historical or important documents.

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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{
                            02_india_second_1000_dataset,
                            title = { 02_india_second_1000 Dataset },
                            type = { Open Source Dataset },
                            author = { zzzullluzzz },
                            howpublished = { \url{ https://universe.roboflow.com/zzzullluzzz-56m2f/02_india_second_1000 } },
                            url = { https://universe.roboflow.com/zzzullluzzz-56m2f/02_india_second_1000 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { may },
                            note = { visited on 2024-11-22 },
                            }

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