Bangla Currency Dataset

Dataset Overview

Recognizing Bangladeshi paper currency accurately is crucial for modern transactions. Factors like varied lighting, complex backgrounds, and note orientations make this task challenging. Previous datasets fail to address these complexities, particularly the absence of 200 Taka notes and diverse scenarios.

Dataset Content

This dataset, developed for the research paper Bangladeshi Paper Currency Recognition with Improved Dataset Using Vision Transformer, features:

• 1,000+ High-Quality Images: Including 200 Taka notes not found in older datasets.
• Diverse Conditions: Images captured under various lighting setups, orientations, and backgrounds to simulate real-world scenarios.
• Optimized for Machine Learning: Suitable for classification, object detection, and currency recognition tasks.

Applications of the Dataset

• Train machine learning models for accurate Bangladeshi currency recognition.
• Research vision transformer models for financial applications.
• Explore object detection and classification challenges in diverse settings.

Why Choose This Dataset?

The Bangla Currency Dataset stands out for its focus on real-world usability, making it an ideal choice for researchers, developers, and organizations. Download this dataset today to enhance your machine learning and computer vision projects!