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.

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

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

Quick, Draw

Network Must Have Spine

Using Quickdraw dataset. An E2E pipeline with tensorflow.js, by Edoh Kodjo

Exploring The Quick, Draw! Dataset With R: The Mona Lisa

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

Depicting the Quick Draw dataset

DIY Object Detection Doodle camera with Raspberry Pi (part 2)