worldwide_currency Computer Vision Project

Worldwide Currency Image Dataset

Project Description

This dataset aims to provide a comprehensive collection of images depicting currency bills from various countries around the world. The dataset will be invaluable for a wide range of applications, including:

Computer Vision Research: Training and evaluating computer vision models for tasks such as image classification, object detection, and image segmentation.

Financial Technology: Developing applications for automated currency recognition and verification.

Security Systems: Enhancing security systems by enabling automated currency authentication.

Educational Purposes: Teaching and learning about different currencies and their unique features.

Dataset Structure: The dataset will be organized into a hierarchical structure, with each country's currency having its own subdirectory. Each subdirectory will contain images of different denominations of that currency.

Example Structure:

worldwide_currency_dataset |--- US |--- Euro |--- India |--- Aruba |---- ...

Structure can be accessed by tags in the dataset structure

High-Quality Images: The dataset will prioritize high-resolution images with clear details.

Diverse Images: The dataset will include images from various angles, lighting conditions, and perspectives.

Sufficient Quantity: Each currency will have a sufficient number of images to ensure robust model training.

Data Licensing: The dataset is released under an MIT License to encourage research and innovation.

Future Considerations: Additional Information: Consider adding metadata to each image, such as country, currency denomination, and year of issue. Augmentation: Apply data augmentation techniques to increase the dataset's diversity and improve model performance. Continuous Updates: Regularly update the dataset with new currencies and additional images. By providing a comprehensive and well-organized dataset, this project aims to contribute to the advancement of computer vision and related fields.