pounds detection Computer Vision Project

pounds yoloV5

Updated 2 years ago

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Classes (9)
1 pound
100pounds
10pounds
200pounds
20pounds
50pounds
5pounds
A quarter of a pound
Half a pound

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Description

Here are a few use cases for this project:

  1. Automated Currency Sorting: The model could be leveraged in banks or financial institutions for sorting currencies into their appropriate classes, thus increasing efficiency and reducing manual labor.

  2. Transactional Applications: The model can be used in grocery stores or other businesses that frequently handle cash transactions. The automatic detection system could increase speed and reduce the chance of human error in counting money.

  3. Travel Apps: The model can be integrated into travel apps to help tourists visiting the UK in real-time currency identification, thus aiding in lessening confusion and potential financial loss due to currency misidentification.

  4. Educational Use: The model can be utilized in educational platforms teaching about different world currencies, providing a visual reference for different values of pounds.

  5. Anti-Counterfeiting Efforts: Law enforcement or banking institutions could use this model to identify counterfeit bills based on the pattern of legitimate currency. For example, if a detected value doesn't match the physical appearance of the bill, it could be flagged as potentially counterfeit.

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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{
                            pounds-detection_dataset,
                            title = { pounds detection Dataset },
                            type = { Open Source Dataset },
                            author = { pounds yoloV5 },
                            howpublished = { \url{ https://universe.roboflow.com/pounds-yolov5-3on8g/pounds-detection } },
                            url = { https://universe.roboflow.com/pounds-yolov5-3on8g/pounds-detection },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { feb },
                            note = { visited on 2024-12-23 },
                            }
                        
                    

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