imagenet_resized

• 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.

Warning: The integer labels used are defined by the authors and do not match those from the other ImageNet datasets provided by Tensorflow datasets. See the original label list, and the labels used by this dataset. Additionally, the original authors 1 index there labels which we convert to 0 indexed by subtracting one.

• Additional Documentation: Explore on Papers With Code

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

• Source code: tfds.datasets.imagenet_resized.Builder

• Versions:

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

• Auto-cached (documentation): No

• Splits:

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

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

• 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

• Dataset size: 378.49 MiB

• Feature structure:

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

• Feature documentation:

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

• Figure (tfds.show_examples):

• Examples (tfds.as_dataframe):

imagenet_resized/16x16

• Config description: Images resized to 16x16

• Download size: 923.34 MiB

• Dataset size: 955.67 MiB

• Feature structure:

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

• Feature documentation:

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

• Figure (tfds.show_examples):

• Examples (tfds.as_dataframe):

imagenet_resized/32x32

• Config description: Images resized to 32x32

• Download size: 3.46 GiB

• Dataset size: 2.93 GiB

• Feature structure:

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

• Feature documentation:

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

• Figure (tfds.show_examples):

• Examples (tfds.as_dataframe):

imagenet_resized/64x64

• Config description: Images resized to 64x64

• Download size: 13.13 GiB

• Dataset size: 10.29 GiB

• Feature structure:

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

• Feature documentation:

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

• Figure (tfds.show_examples):

• Examples (tfds.as_dataframe):