Feal?
Fake vs. real image classifier — 97.3% accuracy
A binary classifier that distinguishes real photographs from AI-generated images with 97.3% accuracy, built by fine-tuning a ResNet-18 with PyTorch.
Feal? in action — classifying real photographs vs. AI-generated images.
- Fine-tuned ResNet-18 on an augmented dataset
- Enriched training data with 10,000+ synthetic images from a custom Deep Convolutional GAN
- Applied data-augmentation strategies for improved generalization
Stack: Python · PyTorch · ResNet · GANs · Scikit-Learn