DeepFake-Detect and DeepFake-Detection
These are competitors offering different technical approaches to the same problem: the first emphasizes customizable model training with EfficientNet architecture, while the second claims a more practical detection methodology, but both independently solve deepfake detection rather than working together.
About DeepFake-Detect
aaronchong888/DeepFake-Detect
Open-source deepfake detection: train your own model with TensorFlow, Keras & EfficientNet
About DeepFake-Detection
dessa-oss/DeepFake-Detection
Towards deepfake detection that actually works
Fine-tuned ResNet18 backbone trained on combined FaceForensics++ and real-world YouTube datasets to address generalization failures in existing deepfake detectors. Orchestrates large-scale hyperparameter search and dataset experimentation through Dessa's Atlas scheduler, with preprocessed frame extraction via FFmpeg and caching mechanisms for efficient training. Demonstrates that detection models require continuous real-world data augmentation, moving beyond synthetic benchmark datasets to achieve practical robustness across multiple manipulation techniques.
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