Implementation of Quickdraw - an online game developed by Google
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Updated
Jan 11, 2023 - Python
Implementation of Quickdraw - an online game developed by Google
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
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
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
CDCGAN Generator and ResNet34 Classifier for QuickDraw! dataset from Google
PyTorch implementation of the conditional Deep Convolutional Generative Adversarial Networks (cDCGAN) for the Google's "Quick, Draw!" dataset.
Convolutional Neural Network trained to classify images
Conditional GAN for the quickdraw dataset
ndjsonTosvg to convert Google Quickdraw data set ndjson format to svg i mages
A Python based TwitterBot implementation that is multi-featured with tweeting, chatting, and drawing.
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.
This project tries to create new doodles using GAN. This project uses google's quick draw data set
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