The dataset can be used to check systems in real-time for the detection of denominations and counterfeits in banknotes.
-The dataset consists of 7280 images, which contain 13 classes, where 6 correspond to original banknotes, another 6 to counterfeits, and 1 additional category for the background.
-The dataset contains rotation and partial views of the banknotes.
-It contains 3 folders each of 7280 images, corresponding to ds1, ds2, and ds3.
-Inside each folder, there is a training, validation, and test folder, which contains the images.
-All classes are balanced in the number of images.