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EMNIST ByClass Dataset
Authors
- Gregory Cohen
- Saeed Afshar
- Jonathan Tapson
- Andre van Schaik
The MARCS Institute for Brain, Behaviour and Development
Western Sydney University
Penrith, Australia 2751
Email: g.cohen@westernsydney.edu.au
What is it?
The EMNIST dataset is a set of handwritten character digits derived from the NIST Special Database 19 (NIST Special Database 19) and converted to a 28x28 pixel image format and dataset structure that directly matches the MNIST dataset (MNIST). Further information on the dataset contents and conversion process can be found in the paper available at arXiv:1702.05373v1.
Formats
The version of the dataset is provided in the binary format as the original MNIST dataset as outlined in MNIST dataset format.
Dataset Summary
- EMNIST ByClass: 814,255 characters. 62 unbalanced classes.
Please refer to the EMNIST paper (available at arXiv:1702.05373v1) for further details of the dataset structure.
How to cite
Please cite the following paper when using or referencing the dataset:
Cohen, G., Afshar, S., Tapson, J., & van Schaik, A. (2017). EMNIST: an extension of MNIST to handwritten letters. Retrieved from arXiv:1702.05373
Files
The dataset consists of the following files:
- emnist-byclass-mapping.txt
- emnist-byclass-test-images-idx3-ubyte.gz
- emnist-byclass-test-labels-idx1-ubyte.gz
- emnist-byclass-train-images-idx3-ubyte.gz
- emnist-byclass-train-labels-idx1-ubyte.gz
License and Usage
This copy of dataset is co-located on Hugging Face for non-profitable usage. If there are any conflicts of copyright, please contact me to delete it.
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