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lsun

Large scale images showing different objects from given categories like bedroom, tower etc.

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

  • classroom (v0.1.1) (Size: 3.06 GiB): Images of category classroom

  • bedroom (v0.1.1) (Size: 42.77 GiB): Images of category bedroom

  • bridge (v0.1.1) (Size: 15.35 GiB): Images of category bridge

  • church_outdoor (v0.1.1) (Size: 2.29 GiB): Images of category church_outdoor

  • conference_room (v0.1.1) (Size: 3.78 GiB): Images of category conference_room

  • dining_room (v0.1.1) (Size: 10.80 GiB): Images of category dining_room

  • kitchen (v0.1.1) (Size: 33.34 GiB): Images of category kitchen

  • living_room (v0.1.1) (Size: 21.23 GiB): Images of category living_room

  • restaurant (v0.1.1) (Size: 12.57 GiB): Images of category restaurant

  • tower (v0.1.1) (Size: 11.19 GiB): Images of category tower

lsun/classroom

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

lsun/bedroom

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

lsun/bridge

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

lsun/church_outdoor

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

lsun/conference_room

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

lsun/dining_room

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

lsun/kitchen

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

lsun/living_room

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

lsun/restaurant

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

lsun/tower

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

Statistics

Split Examples
ALL 708,564
TRAIN 708,264
VALIDATION 300

Urls

Supervised keys (for as_supervised=True)

None

Citation

@article{journals/corr/YuZSSX15,
  added-at = {2018-08-13T00:00:00.000+0200},
  author = {Yu, Fisher and Zhang, Yinda and Song, Shuran and Seff, Ari and Xiao, Jianxiong},
  biburl = {https://www.bibsonomy.org/bibtex/2446d4ffb99a5d7d2ab6e5417a12e195f/dblp},
  ee = {http://arxiv.org/abs/1506.03365},
  interhash = {3e9306c4ce2ead125f3b2ab0e25adc85},
  intrahash = {446d4ffb99a5d7d2ab6e5417a12e195f},
  journal = {CoRR},
  keywords = {dblp},
  timestamp = {2018-08-14T15:08:59.000+0200},
  title = {LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop.},
  url = {http://dblp.uni-trier.de/db/journals/corr/corr1506.html#YuZSSX15},
  volume = {abs/1506.03365},
  year = 2015
}