MR-My-Thesis-Negative Computer Vision Project

aefnattanon

Updated 2 years ago

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Description

Here are a few use cases for this project:

  1. Timekeeping Applications - Utilizing MR-My-Thesis-Negative to recognize and interpret clock faces or digital time displays, allowing for easy integration into time management apps, scheduling systems, and smart home devices.

  2. Educational Tools - Integrating the model into interactive learning platforms to help children and adults with learning disabilities better visualize and understand numbers and their relationships, enhancing their mathematical skills.

  3. Automated Optical Inspection (AOI) Systems - Implementation of MR-My-Thesis-Negative in manufacturing environments to detect errors and ensure quality control in products where digits are used, such as on printed circuit boards or serial codes.

  4. License Plate Recognition - Applying the model as part of an automated license plate detection and recognition system to identify digits on license plates of vehicles for traffic monitoring, law enforcement, and parking management systems.

  5. Document Analysis and Recognition - Integrating MR-My-Thesis-Negative into document analysis systems to extract and interpret numeric data from handwritten or printed documents, improving data entry and processing for various industries such as finance, healthcare, and research.

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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{
                            mr-my-thesis-negative_dataset,
                            title = { MR-My-Thesis-Negative Dataset },
                            type = { Open Source Dataset },
                            author = { aefnattanon },
                            howpublished = { \url{ https://universe.roboflow.com/aefnattanon/mr-my-thesis-negative } },
                            url = { https://universe.roboflow.com/aefnattanon/mr-my-thesis-negative },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jan },
                            note = { visited on 2024-12-22 },
                            }
                        
                    

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