This 2-page document provides supplementary material for the paper titled "Perceptual Classifiers for Detecting Generative Images". It provides details on the datasets used and their composition. We also include the real and fake detection accuracies for each class to help readers better understand the strengths and drawbacks of the proposed approach. Finally, we provide t-SNE visualizations to understand the effectiveness of the chosen feature extractors.