Aby101/visual-vit

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Deepfake Image Detection Using Fine-Tuned Vision Transformer (ViT) This project focuses on detecting deepfake images using a fine-tuned version of the pre-trained model google/vit-base-patch16-224-in21k. The approach leverages the power of Vision Transformers (ViT) to classify images as real or fake.

Model Overview Base Model: google/vit-base-patch16-224-in21k Dataset: deepfake and real images .https://www.kaggle.com/datasets/manjilkarki/deepfake-and-real-images Classes: Binary classification (Fake, Real) Performance: Validation Accuracy: 97% Test Accuracy: 92% Figure 1: Confusion matrix for test data