quickdraw_bitmap | TensorFlow Datasets

The Quick Draw Dataset is a collection of 50 million drawings across 345 categories, contributed by players of the game Quick, Draw! Install Learn Introduction NewtoTensorFlow? 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containsthesedrawingsconvertedfromvectorformatinto28x28grayscaleimages Homepage: https://github.com/googlecreativelab/quickdraw-dataset Sourcecode: tfds.image_classification.QuickdrawBitmap Versions: 3.0.0(default):NewsplitAPI (https://tensorflow.org/datasets/splits) Downloadsize:36.82GiB Datasetsize:Unknownsize Auto-cached (documentation): Unknown Splits: Split Examples 'train' 50,426,266 Featurestructure: FeaturesDict({ 'image':Image(shape=(28,28,1),dtype=tf.uint8), 'label':ClassLabel(shape=(),dtype=tf.int64,num_classes=345), }) Featuredocumentation: Feature Class Shape Dtype Description FeaturesDict image Image (28,28,1) tf.uint8 label ClassLabel tf.int64 Supervisedkeys(See as_superviseddoc): ('image','label') Figure (tfds.show_examples): Examples (tfds.as_dataframe): Citation: @article{DBLP:journals/corr/HaE17, author={DavidHaand DouglasEck}, title={ANeuralRepresentationofSketchDrawings}, journal={CoRR}, volume={abs/1704.03477}, year={2017}, url={http://arxiv.org/abs/1704.03477}, archivePrefix={arXiv}, eprint={1704.03477}, timestamp={Mon,13Aug201816:48:30+0200}, biburl={https://dblp.org/rec/bib/journals/corr/HaE17}, bibsource={dblpcomputersciencebibliography,https://dblp.org} } Exceptasotherwisenoted,thecontentofthispageislicensedundertheCreativeCommonsAttribution4.0License,andcodesamplesarelicensedundertheApache2.0License.Fordetails,seetheGoogleDevelopersSitePolicies.JavaisaregisteredtrademarkofOracleand/oritsaffiliates. 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