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visual-vit
Aby101/visual-vit
visual-vit is a machine learning model from Aby101. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
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At a glance
- Model type
- vit
- Access
- Public
- Created
- Feb 8, 2026
- Updated
- Feb 8, 2026
- SHA
- ca5ecbe6
Model card
From the Hugging Face model README
use link
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
- Type
- vit
- Created
- Feb 8, 2026
- Updated
- Feb 8, 2026