A game where players compete to draw differing prompts on a shared canvas, as scored by a computer vision model
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Updated
Mar 24, 2024 - Python
A game where players compete to draw differing prompts on a shared canvas, as scored by a computer vision model
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
Documentation on how to access and use the Quick, Draw! Dataset.
Sketch recognition Windows and MacOS app using google's quickdraw data set and Electron.js
A convolutional neural network using Tensorflow and Google's Quick, Draw! dataset to recognize hand drawn images.
Implementation of Quickdraw - an online game developed by Google
Conditional GAN for the quickdraw dataset
A web game developed using Google QuickDraw dataset
⚛️ A multi-round sketching game built using ReactJS, which utilises @googlecreativelab/quickdraw-dataset ML dataset to recognise the user's drawings
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.
Projet long de M1
Neural network that evaluates doodles as you draw
ndjsonTosvg to convert Google Quickdraw data set ndjson format to svg i mages
a tensorflow.js convolutional neural network for classifying sketches
Quick Draw dataset Classification
Quickdraw application in pytorch and Flask.
PyTorch implementation of the conditional Deep Convolutional Generative Adversarial Networks (cDCGAN) for the Google's "Quick, Draw!" dataset.
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