Papers › EMNIST: an extension of MNIST to handwritten letters

EMNIST: an extension of MNIST to handwritten letters

17 Feb 2017arXiv:1702.05373archive 2025-07-28

Gregory Cohen, Saeed Afshar, Jonathan Tapson, André van Schaik

The MNIST dataset has become a standard benchmark for learning, classification and computer vision systems. Contributing to its widespread adoption are the understandable and intuitive nature of the task, its relatively small size and storage requirements and the accessibility and ease-of-use of the database itself. The MNIST database was derived from a larger dataset known as the NIST Special Database 19 which contains digits, uppercase and lowercase handwritten letters. This paper introduces a variant of the full NIST dataset, which we have called Extended MNIST (EMNIST), which follows the same conversion paradigm used to create the MNIST dataset. The result is a set of datasets that constitute a more challenging classification tasks involving letters and digits, and that shares the same image structure and parameters as the original MNIST task, allowing for direct compatibility with all existing classifiers and systems. Benchmark results are presented along with a validation of the conversion process through the comparison of the classification results on converted NIST digits and the MNIST digits.

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31 repositories listed; official and paper-mentioned ones first.

Chizuchizu/amplify-hackathon mentioned on GitHubpytorchMIT report
JPDaly/MultilayerPerceptron mentioned on GitHub report
JustRodneyLee/ML101-OCR mentioned on GitHubGPL-3.0 report
Lornatang/TensorFlow-MNIST mentioned on GitHubtfApache-2.0 report
Whole-Brain/mnist-reader mentioned on GitHubMIT report
ajlee19/GestureKeyboard mentioned on GitHub report
austin-hill/EMNIST-CNN mentioned on GitHubpytorchnot reachable when probed 2026-09-18 — repositories for recent papers often appear after camera-ready report
bnjobam/EMNIST-analysis mentioned on GitHubtf report
christianversloot/extra_keras_datasets mentioned on GitHubtfNOASSERTION report
chuiyunjun/projectCSC413 mentioned on GitHub report
hosford42/EMNIST mentioned on GitHubNOASSERTION report
mohitiitb/DummyRepo mentioned on GitHubtf report
rlh1994/cw_wame_optimiser_cnn mentioned on GitHubtf report
shivang2k/CharacterClassifier mentioned on GitHubtf report
spikeeSakshu/CharacterRecognition mentioned on GitHubnot reachable when probed 2026-09-18 — repositories for recent papers often appear after camera-ready report
zmr1128/EMNIST mentioned on GitHubtf report

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rotate zmr1128/EMNIST/emnist.py community (archive-listed) ran · honoured contract fingerprinted no licence file found · pointer only · c905d83a8c7c8cfe · report
AlexNet Lornatang/TensorFlow-MNIST/v0_2/models.py community (archive-listed) unverified Apache-2.0 (permissive) · 083164bfbeb0d9ca · report
AlexNet Lornatang/TensorFlow-MNIST/v0_1/models/alexnet.py community (archive-listed) unverified Apache-2.0 (permissive) · 5aca9cbf66d5ea31 · report
CNN Lornatang/TensorFlow-MNIST/v0_2/models.py community (archive-listed) unverified Apache-2.0 (permissive) · 640fbef861b1331b · report
LeNet Lornatang/TensorFlow-MNIST/v0_2/models.py community (archive-listed) unverified Apache-2.0 (permissive) · 95aaaa71dd002c63 · report
VGG16 Lornatang/TensorFlow-MNIST/v0_1/models/vgg16.py community (archive-listed) unverified Apache-2.0 (permissive) · ce11fac8cedd9a15 · report
VGG19 Lornatang/TensorFlow-MNIST/v0_1/models/vgg19.py community (archive-listed) unverified Apache-2.0 (permissive) · d3303b2b9b7cd348 · report
get_weight Chizuchizu/amplify-hackathon/src/utils.py community (archive-listed) unverified MIT (permissive) · 6eee3173de8e2ce0 · report
minmax Chizuchizu/amplify-hackathon/src/utils.py community (archive-listed) unverified MIT (permissive) · 49fda2edf096ba10 · report
process_image Lornatang/TensorFlow-MNIST/v0_2/dataset.py community (archive-listed) unverified Apache-2.0 (permissive) · 8f4ab24d39a5686c · report
process_image_with_emnist Lornatang/TensorFlow-MNIST/v0_1/datasets/emnist.py community (archive-listed) unverified Apache-2.0 (permissive) · 20087ccac441201c · report
process_image_with_kmnist Lornatang/TensorFlow-MNIST/v0_1/datasets/kmnist.py community (archive-listed) unverified Apache-2.0 (permissive) · 32796d02041ad8bf · report
process_image_with_mnist Lornatang/TensorFlow-MNIST/v0_1/datasets/mnist.py community (archive-listed) unverified Apache-2.0 (permissive) · 9cbd84255dff2fe5 · report
standardization Chizuchizu/amplify-hackathon/src/utils.py community (archive-listed) unverified MIT (permissive) · 2dc8b2021e28ec53 · report

Tasks

General ClassificationImage Classification

Datasets

Introduced by this paper, per the archive.

EMNIST

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Image Classification EMNIST-Balanced OPIUM Classifier Accuracy 78.94 #18 of 20 Archive leaderboard report
Image Classification EMNIST-Balanced Linear Classifier Accuracy 50.93 #20 of 20 Archive leaderboard report
Image Classification EMNIST-Digits OPIUM Classifier Accuracy (%) 96.30 #6 of 7 Archive leaderboard report
Image Classification EMNIST-Digits Linear Classifier Accuracy (%) 84.70 #7 of 7 Archive leaderboard report
Image Classification EMNIST-Letters OPIUM Classifier Accuracy 85.27 #10 of 11 Archive leaderboard report
Image Classification EMNIST-Letters Linear Classifier Accuracy 55.78 #11 of 11 Archive leaderboard report

Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.

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