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Can a neural network learn to recognize doodles? See how well it does with your drawings and help teach it, just by playing.
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.
May 24, 2024 · #1: Baseball. #2: Pac-Man. #3: Quick, Draw! #4: The Scoville Game. #5: Basketball. #6: Halloween. #7: Garden Gnome. #8: Coding Rabbit. #9: Cricket. #10: Rubik's Cube. Google keeps its main search page fresh with fun doodles that change every couple of days. Occasionally, the doodle is an actual game that you can play.
Jul 23, 2021 · Explore a Random Theme. Welcome to the Doodle Champion Island Games! Over the coming weeks, join calico (c)athlete Lucky as she explores Doodle Champion Island: a world filled with seven sport mini-games, legendary opponents, dozens of daring side quests, and a few new (and old ;)) friends.
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.
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.
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.
