imagenet_resized

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

• Source code: tfds.image_classification.ImagenetResized

• Versions:

  • 0.1.0 (default): No release notes.

• 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')

• 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)

• Description:

This dataset consists of the ImageNet dataset resized to 8x8. 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.

• Config description: This dataset consists of the ImageNet dataset resized to 8x8. 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.

• Download size: 237.11 MiB

• Features:

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

• Visualization (tfds.show_examples):

imagenet_resized/16x16

• Description:

This dataset consists of the ImageNet dataset resized to 16x16. 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.

• Config description: This dataset consists of the ImageNet dataset resized to 16x16. 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.

• Download size: 923.34 MiB

• Features:

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

• Visualization (tfds.show_examples):

imagenet_resized/32x32

• Description:

This dataset consists of the ImageNet dataset resized to 32x32. 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.

• Config description: This dataset consists of the ImageNet dataset resized to 32x32. 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.

• Download size: 3.46 GiB

• Features:

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

• Visualization (tfds.show_examples):

imagenet_resized/64x64

• Description:

This dataset consists of the ImageNet dataset resized to 64x64. 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.

• Config description: This dataset consists of the ImageNet dataset resized to 64x64. 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.

• Download size: 13.13 GiB

• Features:

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

• Visualization (tfds.show_examples):