The game is similar to Pictionary in that it suggests an object to sketch, with the twist being that it then uses AI to predict what you’re attempting to scribble. To do this, it makes use of two key components: a neural network and the dataset produced by Google’s online game Quick, Draw! (). This article first appeared in The MagPi 73 and was written by David Crookes Instead of outputting a faithful photograph, it attempts to turn what it sees into a cartoon doodle, instantly spitting it out on to thermal paper like a quirky Polaroid picture. With Dan Macnish’s camera, however, the process and results are a little different. You line up your shot, fiddle with the focus, set the shutter speed, and – flash! – you get a perfect image of whatever is in front of you. Java is a registered trademark of Oracle and/or its affiliates.We all know how cameras work. For details, see the Google Developers Site Policies. Title = Įxcept as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. 'label': ClassLabel(shape=(), dtype=int64, num_classes=345), The bitmap datasetĬontains these drawings converted from vector format into 28x28 grayscale images
The Quick Draw Dataset is a collection of 50 million drawings across 345Ĭategories, contributed by players of the game Quick, Draw!.
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