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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.

Features

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

Statistics

Split Examples
ALL 630,420
EXTRA 531,131
TRAIN 73,257
TEST 26,032

Urls

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}
}