The EMNIST dataset is a set of handwritten character digits derived from the NIST Special Database and converted to a 28 x 28 pixel image format and dataset structure that directly matches the MNIST dataset. We will be using EMNIST Balanced, a set of characters with an equal number of samples per class, which consists of 131,600 characters spread over 47 balanced classes. You can find all the references to the dataset in:
Cohen, G., Afshar, S., Tapson, J., & van Schaik, A. (2017). EMNIST: an extension of MNIST to handwritten letters. Retrieved from http://arxiv.org/abs/1702.05373.
You can also explore complete information about EMNIST by browsing the official page of the dataset: https://www.nist.gov/itl/iad/image-group/emnist-dataset ...
