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downsampled_imagenet

Dataset with images of 2 resolutions (see config name for information on the resolution). It is used for density estimation and generative modeling experiments.

downsampled_imagenet is configured with tfds.image.downsampled_imagenet.DownsampledImagenetConfig and has the following configurations predefined (defaults to the first one):

  • 32x32 (v1.0.0) (Size: 3.98 GiB): A dataset consisting of Train and Validation images of 32x32 resolution.

  • 64x64 (v1.0.0) (Size: 11.73 GiB): A dataset consisting of Train and Validation images of 64x64 resolution.

downsampled_imagenet/32x32

FeaturesDict({
    'image': Image(shape=(None, None, 3), dtype=tf.uint8),
})

downsampled_imagenet/64x64

FeaturesDict({
    'image': Image(shape=(None, None, 3), dtype=tf.uint8),
})

Statistics

Split Examples
ALL 1,331,148
TRAIN 1,281,149
VALIDATION 49,999

Urls

Supervised keys (for as_supervised=True)

None