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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.
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.
Drawize is a fun, free online drawing game similar to Pictionary - but online! You can draw and guess with friends or other players around the world, guess the drawing, or quick draw something for practice. Drawize also works great as an office game or an educational activity for the classroom!
skribbl io is a free multiplayer drawing and guessing game. Draw and guess words with your friends and people all around the world! Score the most points and be the winner!
Fast drawing for everyone. AutoDraw pairs machine learning with drawings from talented artists to help you draw stuff fast.
Quick, Draw! play pictionary with an ai. abstract. free: Yes. skill level: 1. coding knowledge: None. download needed: No. links: https://experiments.withgoogle.com/quick-draw. Want to stay in the loop? Join our mailing list here. Join the community. A game where a neural network tries to guess what you're drawing.
Feb 20, 2024 · The new game, which launched in mid-November, prompts players to speedily draw six different objects while an algorithm attempts to guess what it is that they are drawing.
Nov 17, 2016 · Quick, Draw!, which is just one of the features in Google's new A.I. Experiments initiative, gives players a favorite new mindless activity in exchange for training...
Dec 8, 2017 · 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.
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.
