quickdraw_bitmap

Visualization: Explore in Know Your Data
Description:

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

Homepage: https://github.com/googlecreativelab/quickdraw-dataset
Source code: tfds.image_classification.QuickdrawBitmap
Versions:
- 3.0.0 (default): New split API (https://tensorflow.org/datasets/splits)
Download size: 36.82 GiB
Dataset size: Unknown size
Auto-cached (documentation): Unknown
Splits:

Split	Examples
`'train'`	50,426,266

Features:

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

Supervised keys (See as_supervised doc): ('image', 'label')
Figure (tfds.show_examples):

Visualization

Examples (tfds.as_dataframe):

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}
}