imagenet_resized

• Visualization: Explore in Know Your Data north_east

• Description:

This dataset consists of the ImageNet dataset resized to fixed size. The images here are the ones provided by Chrabaszcz et. al. using the box resize method.

For downsampled ImageNet for unsupervised learning see downsampled_imagenet.

• Homepage: https://patrykchrabaszcz.github.io/Imagenet32/

• Source code: tfds.image_classification.ImagenetResized

• Versions:

  • 0.1.0 (default): Imagenet Resized Datset
  • 0.1.1: Webisite URL update

• Dataset size: Unknown size

• Auto-cached (documentation): Unknown

• Splits:

Split	Examples
'train'	1,281,167
'validation'	50,000

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

• Figure (tfds.show_examples): Not supported.

• Examples (tfds.as_dataframe): Missing.

• Citation:

@article{chrabaszcz2017downsampled,
  title={A downsampled variant of imagenet as an alternative to the cifar datasets},
  author={Chrabaszcz, Patryk and Loshchilov, Ilya and Hutter, Frank},
  journal={arXiv preprint arXiv:1707.08819},
  year={2017}
}

imagenet_resized/8x8 (default config)

• Config description: Images resized to 8x8

• Download size: 237.11 MiB

• Feature structure:

FeaturesDict({
    'image': Image(shape=(8, 8, 3), dtype=tf.uint8),
    'label': ClassLabel(shape=(), dtype=tf.int64, num_classes=1000),
})

• Feature documentation:

Feature	Class	Shape	Dtype	Description
	FeaturesDict
image	Image	(8, 8, 3)	tf.uint8
label	ClassLabel		tf.int64

imagenet_resized/16x16

• Config description: Images resized to 16x16

• Download size: 923.34 MiB

• Feature structure:

FeaturesDict({
    'image': Image(shape=(16, 16, 3), dtype=tf.uint8),
    'label': ClassLabel(shape=(), dtype=tf.int64, num_classes=1000),
})

• Feature documentation:

Feature	Class	Shape	Dtype	Description
	FeaturesDict
image	Image	(16, 16, 3)	tf.uint8
label	ClassLabel		tf.int64

imagenet_resized/32x32

• Config description: Images resized to 32x32

• Download size: 3.46 GiB

• Feature structure:

FeaturesDict({
    'image': Image(shape=(32, 32, 3), dtype=tf.uint8),
    'label': ClassLabel(shape=(), dtype=tf.int64, num_classes=1000),
})

• Feature documentation:

Feature	Class	Shape	Dtype	Description
	FeaturesDict
image	Image	(32, 32, 3)	tf.uint8
label	ClassLabel		tf.int64

imagenet_resized/64x64

• Config description: Images resized to 64x64

• Download size: 13.13 GiB

• Feature structure:

FeaturesDict({
    'image': Image(shape=(64, 64, 3), dtype=tf.uint8),
    'label': ClassLabel(shape=(), dtype=tf.int64, num_classes=1000),
})

• Feature documentation:

Feature	Class	Shape	Dtype	Description
	FeaturesDict
image	Image	(64, 64, 3)	tf.uint8
label	ClassLabel		tf.int64