DeepFlag: The Deep Learning Flag Generator

This project uses StyleGAN2-ADA to generate new flags based on 1300 flags from nation-states, municipalities, organizations, and custom-made flags. DeepFlag aims to help citizens and organizations in the difficult process of designing new flags (e.g. 2015-2016 New Zealand flag referendums)

StyleGAN2-ADA is the latest iteration of Generative-Adversarial Networks (GANs) developed by NVIDIA. GANs are neural-network based algorithms that allows the generation of images or videos from training data, and are commonly known for their use in DeepFakes.

Organization of Repository

1. The code_notebooks folder contains three code files.
   • resize: resizing and formatting image files to be fed into neural network.
   • training: training of the neural network
   • generation: generation of newly generated flags
2. Presentation based on this project.
3. Example images folder

Select Generated Flags

(more flags in the example images folder)

Acknowledgements and References

• Google Colaboratory for training of the neural network and generation of flags
• NVIDIA's repo for StyleGAN2-ADA
• Tutorials and notebooks on StyleGAN2-ADA by Derrick Schultz
• Chris Doenlen for his help and knowledge with GANs.