CNN based model using Quick-Draw-recognition Dataset
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Updated
Nov 12, 2019 - Jupyter Notebook
CNN based model using Quick-Draw-recognition 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
Convolutional Neural Network trained to classify images
Identifying geometrical shapes from the google's quickdraw dataset using Neural Networks:train:
A convolutional neural network using Tensorflow and Google's Quick, Draw! dataset to recognize hand drawn images.
A subset of the famous Google "Quick Draw" dataset
Conditional GAN for the quickdraw dataset
Quick Draw dataset Classification
a tensorflow.js convolutional neural network for classifying sketches
Quickdraw application in pytorch and Flask.
Training notebooks for the quickdraw dataset
Quick Draw
ndjsonTosvg to convert Google Quickdraw data set ndjson format to svg i mages
Multithreaded c++ program transforms ndjson to images
A game where players compete to draw differing prompts on a shared canvas, as scored by a computer vision model
Classify your random messy sketches
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.
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