Quick, Draw! Dataset Dataset

The Quick Draw Dataset is a collection of 50 million drawings across 345 categories, contributed by players of the game Quick, Draw!. The drawings were captured as timestamped vectors, tagged with metadata including what the player was asked to draw and in which country the player was located.

Dataset collection for (deep) machine learning and computer vision – Deep Learning Garden

GitHub - wagenaartje/quickdraw.js: :pencil2: The Google Quick Draw dataset ported to a MNIST-like 28x28 greyscale array dataset, useable by JavaScript machine-learning libraries

RPubs - Why TensorFlow eager execution matters

dataset – Deep Learning Garden

People have drawn one billion doodles in Quick, Draw!

Quick Draw: the world's largest doodle dataset, by Yufeng G

Exploring and Visualizing an Open Global Dataset – Google Research Blog

Introducing a Web Component and Data API for Quick, Draw!

AI + Drawing + Datasets — Amanzi IO