svhn_cropped

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.

• URL: http://ufldl.stanford.edu/housenumbers/
• DatasetBuilder: tfds.image.svhn.SvhnCropped
• Version: v1.0.0

• Versions:

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

• Size: 1.47 GiB

Features

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

Statistics

Urls

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

Supervised keys (for as_supervised=True)

(u'image', u'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}
}