Artiq Text AI

Testing Neural Networks for Image Generation

Testing involves assessing both the quality and diversity of the generated images. Several techniques include:

• Visual Inspection: Humans evaluate the realism and creativity of generated images.
• Frechet Inception Distance (FID): A statistical measure that compares the distribution of generated images to real images.
• Inception Score (IS): A metric used to assess the diversity and quality of generated images based on their classification accuracy.