- 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
.
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)
Config description: Images resized to 8x8
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),
})
- Figure (tfds.show_examples):
- Examples (tfds.as_dataframe):
imagenet_resized/16x16
Config description: Images resized to 16x16
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),
})
- Figure (tfds.show_examples):
- Examples (tfds.as_dataframe):
imagenet_resized/32x32
Config description: Images resized to 32x32
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),
})
- Figure (tfds.show_examples):
- Examples (tfds.as_dataframe):
imagenet_resized/64x64
Config description: Images resized to 64x64
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),
})
- Figure (tfds.show_examples):
- Examples (tfds.as_dataframe):