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Quick, Draw! Can a neural network learn to recognize doodling? Help teach it by adding your drawings to the world’s largest doodling data set, shared publicly to help with machine learning research.
- Google Shadow Art
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- Share the Data
What would you do with 50,000,000 drawings made by real...
- Quick, Draw! the Data
Over 15 million players have contributed millions of...
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You draw, and a neural network tries to guess what you’re...
- Google Shadow Art
Quick, Draw! Un réseau de neurones peut-il apprendre à reconnaître les dessins ? Participez à son apprentissage en ajoutant vos dessins au plus grand ensemble de données de dessin du monde, qui est partagé publiquement afin de contribuer à la recherche dans le domaine de l'apprentissage automatique.
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.
Quick, Draw! is an online guessing game developed and published by Google that challenges players to draw a picture of an object or idea and then uses a neural network artificial intelligence to guess what the drawings represent.
Since November 2016, people all around the world have drawn one billion doodles in Quick, Draw!, a web game where a neural network tries to recognize your drawings. That includes 2.9 million cats, 2.9 million hot dogs, and 2.9 million drawings of snowflakes. Each drawing is unique.
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.
14 juin 2017 · Quick, Draw ! est un jeu en ligne qui vous défie de dessiner des objets du quotidien en quelques secondes. Votre dessin est analysé par une intelligence artificielle qui tente de le reconnaître. Découvrez le but et les enjeux de ce jeu expérimental.