newYOLO3 Object Detection Dataset and Pre-Trained Model by Maskim

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Explore Dataset

Here are a few use cases for this project:

License Plate Recognition: newYOLO3 can be used to automatically identify and read license plates on vehicles for traffic management systems, parking access control, and toll collection.
Optical Character Recognition (OCR): The model can be integrated into OCR systems for converting written or printed text from scanned documents or images into machine-readable text.
Automated Data Entry: newYOLO3 can be used to develop smart data entry systems that can extract alphanumeric characters from forms, invoices, and receipts, streamlining the process and reducing manual input errors.
Reading Aid for Visually Impaired: The model can be integrated into assistive technology to convert written text into an accessible format, such as text-to-speech, helping visually impaired individuals have easier access to textual information.
Educational Applications: newYOLO3 can be utilized in educational software and tools for teaching letter recognition, assessing language proficiency, and creating custom exercises to improve reading and writing skills in learners.

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

Cite This Project

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

@misc{
                            newyolo3_dataset,
                            title = { newYOLO3 Dataset },
                            type = { Open Source Dataset },
                            author = { Maskim },
                            howpublished = { \url{ https://universe.roboflow.com/maskim/newyolo3 } },
                            url = { https://universe.roboflow.com/maskim/newyolo3 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { jun },
                            note = { visited on 2024-04-28 },
                            }