I’m Something of a Painter Myself

Overview

This competition challenges you to create art using Generative Adversarial Networks (GANs) by either imitating the style of Claude Monet or generating art from scratch. You'll build GAN models to produce Monet-style images, aiming to create art so convincing it could fool classifiers. This is a great 'getting started' competition to learn about GANs and computer vision.

Requirements

This is a 'Getting Started' code competition with an ongoing, rolling timeline and no cash prizes, ideal for beginners. Submissions must be made through Kaggle Notebooks. Your notebook should generate between 7,000 and 10,000 images, each sized 256x256, in JPG format. These images must be zipped into a single file named 'images.zip' as the submission output.

Prizes

As a 'Getting Started' competition, there are no cash prizes. The focus is on learning the fundamentals of GANs and participating in the Kaggle community.