The complete code and the trained model are available at GitHub. Furthermore, we'll build a simple web app that allows the user to draw images and predict them using the network model later on. And that's exactly what this article is about: we'll build a convolutional neural network to recognize hand drawn images using the Quick, Draw! dataset. So you can use this dataset to train your own neural network. Luckily, Google released the dataset they trained their neural network with, which includes more than 50 million by the players hand drawn images. In November 2016 Google released an online game called ' Quick, Draw!' that asks the player to draw an image of a prescribed object and then uses a neural network to guess what the drawing represents.Īll in all there are 345 different objects the neural network can recognize. We work on it as a labor of love, with the hopes that people will find it useful, and in turn share it with their own friends and family.This post was originally published on my blog. It is developed by volunteers around the world. It is Open Source software, distributed under the terms of the GNU General Public License. Tux Paint is free of cost and free of advertisements. 'The 7 Best Open-Source Paint Alternatives for Linux', 'Make Use Of', July 2021

Older versions of Tux Paint have been released for a variety of other platforms, as well.

The latest version of Tux Paint runs on a variety of platforms, including Windows (Vista and later), macOS (10.10 and later), Linux, Android, Haiku, and more. Tux Paint 0.9.30 and friends have been released and is available for Microsoft Windows, Red Hat Linux, Slackware Linux.

Download google quick drawing