Malaysian Banknote Object Detection Dataset and Pre-Trained Model by FYP

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Explore Dataset

Here are a few use cases for this project:

Cash Handling Automation: The "Malaysian Banknote" model could be integrated into Automated Teller Machines (ATMs) or self-service checkout systems to automatically identify and validate denominations of cash being deposited or given as change, reducing human errors.
Financial Apps: This model can be integrated into financial apps to enable users to track their cash spending efficiently. Users can take a picture of the banknote they spend, and the app will automatically log the amount based on the identified denomination.
Anti-Counterfeit Measures: Authorities could use the model as a tool for spotting counterfeit banknotes. Although it does not directly detect counterfeit features, the model could flag discrepancies in recognition that could suggest a note being fake or tampered with.
Aid for the Visually Impaired: This computer vision model could be used to develop applications that help visually impaired or blind people identify the denomination of Malaysian banknotes they are handling, promoting greater financial independence.
Educational Tools: The model can be used within educational settings, teaching students about Malaysian currency, its different denominations, or could even be used in projects exploring computer vision and AI technology.

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{
                            malaysian-banknote_dataset,
                            title = { Malaysian Banknote Dataset },
                            type = { Open Source Dataset },
                            author = { FYP },
                            howpublished = { \url{ https://universe.roboflow.com/fyp-leirw/malaysian-banknote } },
                            url = { https://universe.roboflow.com/fyp-leirw/malaysian-banknote },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jan },
                            note = { visited on 2024-05-17 },
                            }