There are 4 repositories under quickdraw-dataset topic.
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
Quick Draw Implementation that recognize the Doodles and the Shapes you Feed into System.
An implementation of Google's Quick Draw Project
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
Using Google's Quick Draw dataset to build a neural network to classify sketches
Classify your random messy sketches
Keras light-weight model for sketch images classification using Quick!Draw dataset
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.
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
Capstone Project done during my Academic Internship at National University of Singapore (NUS).
PyTorch implementation of the conditional Deep Convolutional Generative Adversarial Networks (cDCGAN) for the Google's "Quick, Draw!" dataset.
Let's use a CNN to classify what the user draws.
A subset of the famous Google "Quick Draw" dataset
CDCGAN Generator and ResNet34 Classifier for QuickDraw! dataset from Google
⚛️ A multi-round sketching game built using ReactJS, which utilises @googlecreativelab/quickdraw-dataset ML dataset to recognise the user's drawings
Quickdraw_grid generates a grid of vector drawings from Google's "Quick, Draw!" database, based on user's input - selected category, number of rows and columns.
Quickdraw application in pytorch and Flask.
Convolutional Neural Network trained to classify hand-drawn images
Simple GAN example using "Quick, Draw!" dataset example (bird doodles)
Google Quick Drawing implementation for doodling objects
A web application for a hybrid AI agent that draws doodles from text input
a tensorflow.js convolutional neural network for classifying sketches