emnist

The EMNIST dataset is a set of handwritten character digits derived from the NIST Special Database 19 and converted to a 28x28 pixel image format and dataset structure that directly matches the MNIST dataset.

• URL: https://www.nist.gov/node/1298471/emnist-dataset
• DatasetBuilder: tfds.image.mnist.EMNIST

emnist is configured with tfds.image.mnist.EMNISTConfig and has the following configurations predefined (defaults to the first one):

• byclass (v1.0.1) (Size: 535.73 MiB): EMNIST ByClass

• bymerge (v1.0.1) (Size: 535.73 MiB): EMNIST ByMerge

• balanced (v1.0.1) (Size: 535.73 MiB): EMNIST Balanced

• letters (v1.0.1) (Size: 535.73 MiB): EMNIST Letters

• digits (v1.0.1) (Size: 535.73 MiB): EMNIST Digits

• mnist (v1.0.1) (Size: 535.73 MiB): EMNIST MNIST

emnist/byclass

EMNIST ByClass

Versions:

• 1.0.1 (default):
• 3.0.0: New split API (https://tensorflow.org/datasets/splits)

Statistics

Split	Examples
ALL	814,255
TRAIN	697,932
TEST	116,323

Features

FeaturesDict({
    'image': Image(shape=(28, 28, 1), dtype=tf.uint8),
    'label': ClassLabel(shape=(), dtype=tf.int64, num_classes=62),
})

Urls

• https://www.nist.gov/node/1298471/emnist-dataset

Supervised keys (for as_supervised=True)

(u'image', u'label')

emnist/bymerge

EMNIST ByMerge

Versions:

• 1.0.1 (default):
• 3.0.0: New split API (https://tensorflow.org/datasets/splits)

Statistics

Split	Examples
ALL	814,255
TRAIN	697,932
TEST	116,323

Features

FeaturesDict({
    'image': Image(shape=(28, 28, 1), dtype=tf.uint8),
    'label': ClassLabel(shape=(), dtype=tf.int64, num_classes=47),
})

Urls

• https://www.nist.gov/node/1298471/emnist-dataset

Supervised keys (for as_supervised=True)

(u'image', u'label')

emnist/balanced

EMNIST Balanced

Versions:

• 1.0.1 (default):
• 3.0.0: New split API (https://tensorflow.org/datasets/splits)

Statistics

Split	Examples
ALL	131,600
TRAIN	112,800
TEST	18,800

Features

FeaturesDict({
    'image': Image(shape=(28, 28, 1), dtype=tf.uint8),
    'label': ClassLabel(shape=(), dtype=tf.int64, num_classes=47),
})

Urls

• https://www.nist.gov/node/1298471/emnist-dataset

Supervised keys (for as_supervised=True)

(u'image', u'label')

emnist/letters

EMNIST Letters

Versions:

• 1.0.1 (default):
• 3.0.0: New split API (https://tensorflow.org/datasets/splits)

Statistics

Split	Examples
ALL	103,600
TRAIN	88,800
TEST	14,800

Features

FeaturesDict({
    'image': Image(shape=(28, 28, 1), dtype=tf.uint8),
    'label': ClassLabel(shape=(), dtype=tf.int64, num_classes=37),
})

Urls

• https://www.nist.gov/node/1298471/emnist-dataset

Supervised keys (for as_supervised=True)

(u'image', u'label')

emnist/digits

EMNIST Digits

Versions:

• 1.0.1 (default):
• 3.0.0: New split API (https://tensorflow.org/datasets/splits)

Statistics

Split	Examples
ALL	280,000
TRAIN	240,000
TEST	40,000

Features

FeaturesDict({
    'image': Image(shape=(28, 28, 1), dtype=tf.uint8),
    'label': ClassLabel(shape=(), dtype=tf.int64, num_classes=10),
})

Urls

• https://www.nist.gov/node/1298471/emnist-dataset

Supervised keys (for as_supervised=True)

(u'image', u'label')

emnist/mnist

EMNIST MNIST

Versions:

• 1.0.1 (default):
• 3.0.0: New split API (https://tensorflow.org/datasets/splits)

Statistics

Split	Examples
ALL	70,000
TRAIN	60,000
TEST	10,000

Features

FeaturesDict({
    'image': Image(shape=(28, 28, 1), dtype=tf.uint8),
    'label': ClassLabel(shape=(), dtype=tf.int64, num_classes=10),
})

Urls

• https://www.nist.gov/node/1298471/emnist-dataset

Supervised keys (for as_supervised=True)

(u'image', u'label')

Citation

@article{cohen_afshar_tapson_schaik_2017,
    title={EMNIST: Extending MNIST to handwritten letters},
    DOI={10.1109/ijcnn.2017.7966217},
    journal={2017 International Joint Conference on Neural Networks (IJCNN)},
    author={Cohen, Gregory and Afshar, Saeed and Tapson, Jonathan and Schaik, Andre Van},
    year={2017}
}

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