Update README.md

README.md

@@ -15,9 +15,18 @@ base_model:
 # **Deep-Fake-Detector-Model**
 
 # **Overview**
+
 The **Deep-Fake-Detector-Model** is a state-of-the-art deep learning model designed to detect deepfake images. It leverages the **Vision Transformer (ViT)** architecture, specifically the `google/vit-base-patch16-224-in21k` model, fine-tuned on a dataset of real and deepfake images. The model is trained to classify images as either "Real" or "Fake" with high accuracy, making it a powerful tool for detecting manipulated media.
 
-### **Key Features**
+*Update* : The previous model checkpoint was obtained using a smaller classification dataset. Although it performed well in evaluation scores, its real-time performance was average due to limited variations in the training set. The new update includes a larger dataset to improve the detection of fake images.
+
+*Repository Details*
+
+| Repository | Link |
+|------------|------|
+| Deep Fake Detector Model | [GitHub Repository](https://github.com/PRITHIVSAKTHIUR/Deep-Fake-Detector-Model) |
+
+# **Key Features**
 - **Architecture**: Vision Transformer (ViT) - `google/vit-base-patch16-224-in21k`.
 - **Input**: RGB images resized to 224x224 pixels.
 - **Output**: Binary classification ("Real" or "Fake").