svhn_cropped

• Description:

The Street View House Numbers (SVHN) Dataset is an image digit recognition dataset of over 600,000 digit images coming from real world data. Images are cropped to 32x32.

• Homepage: http://ufldl.stanford.edu/housenumbers/

• Source code: tfds.image_classification.SvhnCropped

• Versions:

  • 3.0.0 (default): No release notes.
  • 3.1.0: New split API (https://tensorflow.org/datasets/splits)

• Download size: 1.47 GiB

• Dataset size: Unknown size

• Auto-cached (documentation): Unknown

• Splits:

Split	Examples
'extra'	531,131
'test'	26,032
'train'	73,257

• Features:

FeaturesDict({
    'image': Image(shape=(32, 32, 3), dtype=tf.uint8),
    'label': ClassLabel(shape=(), dtype=tf.int64, num_classes=10),
})

• Supervised keys (See as_supervised doc): ('image', 'label')

• Citation:

@article{Netzer2011,
author = {Netzer, Yuval and Wang, Tao and Coates, Adam and Bissacco, Alessandro and Wu, Bo and Ng, Andrew Y},
booktitle = {Advances in Neural Information Processing Systems ({NIPS})},
title = {Reading Digits in Natural Images with Unsupervised Feature Learning},
year = {2011}
}

• Figure (tfds.show_examples):

• Examples (tfds.as_dataframe):