- Description:
The CIFAR-10 dataset consists of 60000 32x32 colour images in 10 classes, with 6000 images per class. There are 50000 training images and 10000 test images.
Source code:
tfds.image_classification.Cifar10
Versions:
3.0.2
(default): No release notes.
Download size:
162.17 MiB
Dataset size:
132.40 MiB
Auto-cached (documentation): Yes
Splits:
Split | Examples |
---|---|
'test' |
10,000 |
'train' |
50,000 |
- Features:
FeaturesDict({
'id': Text(shape=(), dtype=tf.string),
'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:
@TECHREPORT{Krizhevsky09learningmultiple,
author = {Alex Krizhevsky},
title = {Learning multiple layers of features from tiny images},
institution = {},
year = {2009}
}
- Figure (tfds.show_examples):
- Examples (tfds.as_dataframe):