celeb_a_hq

  • Description:

High-quality version of the CELEBA dataset, consisting of 30000 images in 1024 x 1024 resolution.

Split Examples
'train' 30,000
@article{DBLP:journals/corr/abs-1710-10196,
  author    = {Tero Karras and
               Timo Aila and
               Samuli Laine and
               Jaakko Lehtinen},
  title     = {Progressive Growing of GANs for Improved Quality, Stability, and Variation},
  journal   = {CoRR},
  volume    = {abs/1710.10196},
  year      = {2017},
  url       = {http://arxiv.org/abs/1710.10196},
  archivePrefix = {arXiv},
  eprint    = {1710.10196},
  timestamp = {Mon, 13 Aug 2018 16:46:42 +0200},
  biburl    = {https://dblp.org/rec/bib/journals/corr/abs-1710-10196},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

celeb_a_hq/1024 (default config)

  • Config description: CelebaHQ images in 1024 x 1024 resolution

  • Features:

FeaturesDict({
    'image': Image(shape=(1024, 1024, 3), dtype=tf.uint8),
    'image/filename': Text(shape=(), dtype=tf.string),
})

Visualization

celeb_a_hq/512

  • Config description: CelebaHQ images in 512 x 512 resolution

  • Features:

FeaturesDict({
    'image': Image(shape=(512, 512, 3), dtype=tf.uint8),
    'image/filename': Text(shape=(), dtype=tf.string),
})

Visualization

celeb_a_hq/256

  • Config description: CelebaHQ images in 256 x 256 resolution

  • Features:

FeaturesDict({
    'image': Image(shape=(256, 256, 3), dtype=tf.uint8),
    'image/filename': Text(shape=(), dtype=tf.string),
})

Visualization

celeb_a_hq/128

  • Config description: CelebaHQ images in 128 x 128 resolution

  • Features:

FeaturesDict({
    'image': Image(shape=(128, 128, 3), dtype=tf.uint8),
    'image/filename': Text(shape=(), dtype=tf.string),
})

Visualization

celeb_a_hq/64

  • Config description: CelebaHQ images in 64 x 64 resolution

  • Features:

FeaturesDict({
    'image': Image(shape=(64, 64, 3), dtype=tf.uint8),
    'image/filename': Text(shape=(), dtype=tf.string),
})

Visualization

celeb_a_hq/32

  • Config description: CelebaHQ images in 32 x 32 resolution

  • Features:

FeaturesDict({
    'image': Image(shape=(32, 32, 3), dtype=tf.uint8),
    'image/filename': Text(shape=(), dtype=tf.string),
})

Visualization

celeb_a_hq/16

  • Config description: CelebaHQ images in 16 x 16 resolution

  • Features:

FeaturesDict({
    'image': Image(shape=(16, 16, 3), dtype=tf.uint8),
    'image/filename': Text(shape=(), dtype=tf.string),
})

Visualization

celeb_a_hq/8

  • Config description: CelebaHQ images in 8 x 8 resolution

  • Features:

FeaturesDict({
    'image': Image(shape=(8, 8, 3), dtype=tf.uint8),
    'image/filename': Text(shape=(), dtype=tf.string),
})

Visualization

celeb_a_hq/4

  • Config description: CelebaHQ images in 4 x 4 resolution

  • Features:

FeaturesDict({
    'image': Image(shape=(4, 4, 3), dtype=tf.uint8),
    'image/filename': Text(shape=(), dtype=tf.string),
})

Visualization

celeb_a_hq/2

  • Config description: CelebaHQ images in 2 x 2 resolution

  • Features:

FeaturesDict({
    'image': Image(shape=(2, 2, 3), dtype=tf.uint8),
    'image/filename': Text(shape=(), dtype=tf.string),
})

Visualization

celeb_a_hq/1

  • Config description: CelebaHQ images in 1 x 1 resolution

  • Features:

FeaturesDict({
    'image': Image(shape=(1, 1, 3), dtype=tf.uint8),
    'image/filename': Text(shape=(), dtype=tf.string),
})

Visualization