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

Split	Examples
ALL	50,426,266
TRAIN	50,426,266

Homepage

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}
}