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Deepfake Detector (ResNet18 + LSTM)
This project uses:
- ResNet18 pretrained on ImageNet
- LSTM temporal modeling
- Celeb-DF v2 dataset
- Model: ResNet18 + LSTM
- Test AUC: 0.763
- Threshold: 0.41
Usage
from PIL import Image
import torch
# Load model, preprocess video frames, predict
Performance:
| Metric | Value | Best threshold: 0.041 Accuracy : 0.7192 Precision: 0.6909 Recall : 0.6940 F1 : 0.6924
The model was trained on 100 real and 100 fake videos from Celeb-DF v2.
license: mit
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