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  1. Over 15 million players have contributed millions of drawings playing Quick, Draw! These doodles are a unique data set that can help developers train new neural networks, help researchers see patterns in how people around the world draw, and help artists create things we haven’t begun to think of.

  2. Choose from a wide variety of shapes to create diagrams and charts.

  3. Collection: AI Experiments. This is a game built with machine learning. You draw, and a neural network tries to guess what you’re drawing. Of course, it doesn’t always work. But the more you play with it, the more it will learn. It’s just one example of how you can use machine learning in fun ways.

  4. We used the Sketchy datasetto match doodles to paintings, sculptures and drawings from Google Arts and Culture partner's collections around the world. Credits: Draw to Art was created by. Google Creative Lab, London. Xavier Barrade, Joao Wilbert, Charis Levonleigh, Rebecca Duff Smith, Daniele Buffa, Suzie Redfern, Pierre Buttin, Robin Fencott ...

  5. quickdraw.withgoogle.com › data › shareQuick, Draw! The Data

    What would you do with 50,000,000 drawings made by real people on the internet? Get the data Play the game Get the data Play the game Share Share the data ...

  6. Nov 17, 2016 · Quick, Draw! is Google's latest A.I. Experiment, and uses machine learning to guess what you're drawing. It's like Draw Something, but against a computer.

  7. Apr 11, 2017 · Apr 11, 2017. 1 min read. Dan Motzenbecker. Creative Technologist, Google Creative Lab. Listen to article. Drawing on your phone or computer can be slow and difficult—so we created AutoDraw, a new web-based tool that pairs machine learning with drawings created by talented artists to help you draw.

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