Yemeni Currency Recognition Dataset

This dataset contains real-world images of Yemeni banknotes collected for research in currency recognition and computer vision. The images were captured using smartphone cameras under diverse conditions, including variations in illumination, background, orientation, scale, and partial occlusions.

The dataset includes six Yemeni Riyal denominations: 50, 100, 200 (old), 250, 500, and 1000 YER. Each denomination is organized in a separate folder. The dataset consists of a total of 1,691 RGB images.

This dataset is intended to support tasks such as image classification, object detection, and evaluation of currency recognition systems, including assistive applications for visually impaired users. It is designed to facilitate reproducible research and testing of deep learning models under realistic acquisition conditions.