| license: mit | |
| language: | |
| - en | |
| metrics: | |
| - accuracy | |
| - f1 | |
| ## Overview | |
| **Model Name:** `ReDeepFake` | |
| **Task:** Advanced Deepfake detection model for 2D flat images. | |
| **Model Type:** Convolutional Neural Network (CNN) -> [EfficientNetB4](https://www.tensorflow.org/api_docs/python/tf/keras/applications/efficientnet) Model Architecture based. | |
| **Framework:** `TensorFlow` | |
| **Current Version:** V1.3 | |
| **Key Study:** [Deepfake Detection Challenge (DFDC)](https://www.kaggle.com/competitions/deepfake-detection-challenge) (in 2019-2020, by Meta, AWS, Microsoft and AI’s Media Integrity Steering Committee). | |
| **Key Parthner:** `Microsoft Imagine Cup 2024` | |
| **Kaggle Notebook:** https://www.kaggle.com/code/armanzhalgasbayev/deepfake-detection-efficientnetb4-tf-cnn |