Betul UCAR


Object Detection

harftanı Computer Vision Project


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Explore Dataset

Here are a few use cases for this project:

  1. Alphabet and Number Recognition: The model can be used in education software to help young children learn alphabets and numbers. It can identify these characters in various formats, enhancing the learning experience.

  2. Automated Reading Systems: The model can be applied in building systems that can read alphanumeric text from real-world images, like recognition of car license plates, reading street names or signs for visually impaired or navigation purposes.

  3. Detection and Decoding of Secret Messages: The model can identify a series of these characters and numbers that could be an encoded message. This is particularly beneficial in deciphering cryptic codes or ciphers in fields like cybersecurity or digital forensics.

  4. Inventory Management: This model could be used to quickly identify alphanumeric product identifiers or codes in warehouses or stores, facilitating more efficient stock-taking and management processes.

  5. Enhancing CCTV Security Systems: The model can be used to augment security systems by identifying and alerting if a specific car (based on license plate recognition) is detected in specified areas.

Cite this Project

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

@misc{ harftani_dataset,
    title = { harftanı Dataset },
    type = { Open Source Dataset },
    author = { Betul UCAR },
    howpublished = { \url{ } },
    url = { },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2022 },
    month = { jan },
    note = { visited on 2023-12-05 },

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Betul UCAR

Last Updated

2 years ago

Project Type

Object Detection




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