- 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):