---
library_name: keras
pipeline_tag: image-classification
license: mit
tags:
  - deepfake-detection
  - xception
  - tensorflow
  - keras
  - computer-vision
---

# DeepVerify Xception Model

DeepVerify is a deepfake face detection model developed using Xception Transfer Learning and TensorFlow/Keras.

The model is trained to classify facial images into:

- Real Face
- Fake Face

It is designed for AI-powered media verification, deepfake detection, and facial authenticity analysis.

## Model Details

- Architecture: Xception
- Framework: TensorFlow / Keras
- Input Size: 299 × 299 RGB
- Task: Deepfake Face Detection

### Output Classes

| Class | Label |
|---------|---------|
| 0 | Fake Face |
| 1 | Real Face |

## Performance

- Test Accuracy: 91.37%
- Binary Classification

## Usage


from tensorflow.keras.models import load_model

model = load_model("best_xception.keras")

## Author

**Naveen**

Artificial Intelligence & Data Science  
Velammal Institute of Technology

Project: DeepVerify AI