emnist.md

# `emnist`

• Description:

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.

Note: Like the original EMNIST data, images provided here are inverted horizontally and rotated 90 anti-clockwise. You can use tf.transpose within ds.map to convert the images to a human-friendlier format.

• Homepage: https://www.nist.gov/itl/products-and-services/emnist-dataset
• Source code: tfds.image.mnist.EMNIST
• Versions:
  • 3.0.0 (default): New split API (https://tensorflow.org/datasets/splits)
• Download size: 535.73 MiB
• Dataset size: Unknown size
• Auto-cached (documentation): No
• Supervised keys (See as_supervised doc): ('image', '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}
}

emnist/byclass (default config)

• Config description: EMNIST ByClass
• Splits:

Split	Examples
'test'	116,323
'train'	697,932

• Features:

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

emnist/bymerge

• Config description: EMNIST ByMerge
• Splits:

Split	Examples
'test'	116,323
'train'	697,932

• Features:

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

emnist/balanced

• Config description: EMNIST Balanced
• Splits:

Split	Examples
'test'	18,800
'train'	112,800

• Features:

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

emnist/letters

• Config description: EMNIST Letters
• Splits:

Split	Examples
'test'	14,800
'train'	88,800

• Features:

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

emnist/digits

• Config description: EMNIST Digits
• Splits:

Split	Examples
'test'	40,000
'train'	240,000

• Features:

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

emnist/mnist

• Config description: EMNIST MNIST
• Splits:

Split	Examples
'test'	10,000
'train'	60,000

• Features:

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