Quick, Draw!
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. Let's Draw!
Quick, Draw! The Data
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 …
Quick, Draw! The Data
You are looking at drawings made by real people... on the internet. If you see something that shouldn’t be here, simply select the drawing and click the flag icon. It will help us make the collection better for everyone.
Quick, Draw!
Quick, Draw! يمكنك المساهمة في تعليمها عبر إضافة رسوماتك إلى ، والتي تتم مشاركتها مع المستخدمين لمساعدة أبحاث تعلّم الآلة. لنبدأ بالرسم! ... جرّب هذا الرسم بدلًا منه! أحسنت! حسنًا! Survey responses will be ...
Quick, Draw!
Quick, Draw! Kann ein neuronales Netzwerk Zeichnungen erkennen? Du kannst mithelfen, das Netzwerk zu trainieren, indem du deine Zeichnungen der weltweit größten Datenbank für Zeichnungen hinzufügst.
Share the data - Quick, Draw!
What would you do with 50,000,000 drawings made by real people on the internet?
Quick, Draw!
Quick, Draw! ¿Puede una red neuronal reconocer tus dibujos? Añade tus dibujos al conjunto de datos de dibujos más grande del mundo, compartido públicamente, para ayudarnos con la investigación sobre el aprendizaje automático.
Quick, Draw!
Quick, Draw! 머신 러닝 기술이 학습을 통해 낙서를 인식할 수 있을까요? 여러분의 그림으로 머신 러닝의 학습을 도와주세요. Google은 머신 러닝 연구를 위해 세계 최대의 낙서 데이터 세트 를 오픈소스로 공유합니다.
Quick, Draw!
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.
Quick, Draw!
Игра Quick, Draw! использует технологии машинного обучения. Вы рисуете предмет, а нейронная сеть пытается угадать, что это такое.