readme.md

Handwritten Digit Generator

A web application that generates handwritten digit images using a trained Conditional GAN model.

Time Constraints & Future Improvements

Due to time constraints during this contest, the model was trained for fewer epochs than ideal. Given more time, the following improvements and additional training steps would have been performed:

• Extended Training: Train the GAN for more epochs (50-100 instead of 10) to improve image quality and diversity
• Hyperparameter Optimization: Experiment with different learning rates, batch sizes, and optimizer settings
• Advanced GAN Techniques:
  • Implement label smoothing for more stable training
  • Add noise injection to discriminator inputs
  • Use progressive growing or spectral normalization
• Architecture Improvements:
  • Increase the size and complexity of generator and discriminator networks
  • Explore ResNet or U-Net based architectures
  • Add self-attention mechanisms
• Training Stability:
  • Implement Wasserstein loss or LSGAN loss functions
  • Use feature matching and minibatch discrimination
  • Apply gradient penalty techniques
• Evaluation & Fine-tuning:
  • Perform more extensive evaluation using FID and IS scores
  • Fine-tune to reduce artifacts and improve digit clarity
  • Add more sophisticated conditioning mechanisms
• Alternative Architectures:
  • Explore Conditional GANs with attention mechanisms
  • Implement VAE-GAN hybrid models
  • Try diffusion-based generation approaches

Current Results

Despite the limited training time, the model successfully generates recognizable digits for all classes (0-9) with reasonable diversity, meeting the contest requirements.

Technical Details

• Framework: PyTorch
• Dataset: MNIST (28x28 grayscale)
• Architecture: Conditional GAN with label embedding
• Training: 10 epochs on Google Colab T4 GPU
• Interface: Gradio web application
• Deployment: Hugging Face Spaces

Usage

1. Select a digit (0-9) from the dropdown
2. Click "Generate Images"
3. View 5 unique generated images of the chosen digit

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This README is uploaded for documentation and evaluation purposes.