CNN based model using Quick-Draw-recognition Dataset
-
Updated
Nov 12, 2019 - Jupyter Notebook
CNN based model using Quick-Draw-recognition Dataset
Convolutional Neural Network trained to classify hand-drawn images
Conditional GAN for the quickdraw dataset
Quick Draw dataset Classification
Identifying geometrical shapes from the google's quickdraw dataset using Neural Networks:train:
Google Quick Drawing implementation for doodling objects
Training notebooks for the quickdraw dataset
Quick Draw
ndjsonTosvg to convert Google Quickdraw data set ndjson format to svg i mages
a tensorflow.js convolutional neural network for classifying sketches
Quickdraw application in pytorch and Flask.
A web application for a hybrid AI agent that draws doodles from text input
Multithreaded c++ program transforms ndjson to images
This project tries to create new doodles using GAN. This project uses google's quick draw data set
A simple CNN model that classifies doodles into 100 classes.
Multi-layered perceptron on Google's Quick Draw Dataset
A web game developed using Google QuickDraw dataset
Sketch recognition Windows and MacOS app using google's quickdraw data set and Electron.js
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.
Add a description, image, and links to the quickdraw-dataset topic page so that developers can more easily learn about it.
To associate your repository with the quickdraw-dataset topic, visit your repo's landing page and select "manage topics."