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
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}
}