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
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