Documentation on how to access and use the Quick, Draw! Dataset.

Implementation of Quickdraw - an online game developed by Google

Dataset of 25k penises: an appendix to the Quick, Draw! Dataset

Implementation of QuickDraw - an online game developed by Google, combined with AirGesture - a simple gesture recognition application

Model and Android app for sketch recognition using Google's quickdraw dataset

Thesis Project

SketchRNN Implementation in Tensorflow 2.0

A convolutional neural network using Tensorflow and Google's Quick, Draw! dataset to recognize hand drawn images.

Neural network that evaluates doodles as you draw

An implementation of Google's Quick Draw Project

Quick Draw Implementation that recognize the Doodles and the Shapes you Feed into System.

An easy to read and Object Oriented implementation of a simple Neural Network using back-propagation and hidden layers, applied on a basic image classification problem.

A game where players compete to draw differing prompts on a shared canvas, as scored by a computer vision model

Project to implement and compare performance of generative models based on sketch-rnn on QuickDraw dataset.

Using Google's Quick Draw dataset to build a neural network to classify sketches

Classify your random messy sketches

Web app to detect user hand-drawn sketches on a canvas. Using google's quickdraw dataset. App built using python with flask and keras API.

Keras light-weight model for sketch images classification using Quick!Draw dataset

iOS App that guesses what you have drawn. It is creating using SwiftUI interface and CoreML. Model is trained using Google's Quick Draw Dataset