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Coin Detection for new dataset Computer Vision Project

AML

Updated a year ago

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Description

Here are a few use cases for this project:

  1. Automated Coin Sorting: Utilize the "Coin Detection for new dataset" model in coin-counting machines to automatically sort mixed coin denominations for banks, retail stores, or individual collectors.

  2. Numismatic Research: Assist researchers and coin collectors in studying and identifying different types of coins from various countries, time periods, and mints, ultimately enhancing their understanding of history, culture, and monetary evolution.

  3. Coin Grading System: Implement the model in coin grading processes to help grade coins based on quality and condition for auction houses or numismatic dealers, ensuring accuracy in pricing and cataloging.

  4. Education and Museum Exhibitions: Incorporate the model into interactive applications for educational institutions and museums to help visitors identify coins on display and learn more about the history behind them.

  5. Counterfeit Detection: Employ the "Coin Detection for new dataset" model to identify potential counterfeit or altered coins, enabling law enforcement agencies to combat illegal activities in the field of currency and protect consumers from fraud.

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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{
                            coin-detection-for-new-dataset_dataset,
                            title = { Coin Detection for new dataset Dataset },
                            type = { Open Source Dataset },
                            author = { AML },
                            howpublished = { \url{ https://universe.roboflow.com/aml-zpz6y/coin-detection-for-new-dataset } },
                            url = { https://universe.roboflow.com/aml-zpz6y/coin-detection-for-new-dataset },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { aug },
                            note = { visited on 2024-11-24 },
                            }

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