quickdraw_bitmap

The Quick Draw Dataset is a collection of 50 million drawings across 345 categories, contributed by players of the game Quick, Draw!. The bitmap dataset contains these drawings converted from vector format into 28x28 grayscale images

• URL: https://github.com/googlecreativelab/quickdraw-dataset
• DatasetBuilder: tfds.image.quickdraw.QuickdrawBitmap
• Version: v1.0.0

• Versions:

  • 1.0.0 (default):
  • 3.0.0: New split API (https://tensorflow.org/datasets/splits)

• Size: 36.82 GiB

Features

FeaturesDict({
    'image': Image(shape=(28, 28, 1), dtype=tf.uint8),
    'label': ClassLabel(shape=(), dtype=tf.int64, num_classes=345),
})

Statistics

Urls

• https://github.com/googlecreativelab/quickdraw-dataset

Supervised keys (for as_supervised=True)

(u'image', u'label')

Citation

@article{DBLP:journals/corr/HaE17,
  author    = {David Ha and
               Douglas Eck},
  title     = {A Neural Representation of Sketch Drawings},
  journal   = {CoRR},
  volume    = {abs/1704.03477},
  year      = {2017},
  url       = {http://arxiv.org/abs/1704.03477},
  archivePrefix = {arXiv},
  eprint    = {1704.03477},
  timestamp = {Mon, 13 Aug 2018 16:48:30 +0200},
  biburl    = {https://dblp.org/rec/bib/journals/corr/HaE17},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}