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--- |
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license: mit |
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language: |
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- en |
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metrics: |
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- accuracy |
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- f1 |
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--- |
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## Overview |
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**Model Name:** `ReDeepFake` |
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**Task:** Advanced Deepfake detection model for 2D flat images. |
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**Model Type:** Convolutional Neural Network (CNN) -> [EfficientNetB4](https://www.tensorflow.org/api_docs/python/tf/keras/applications/efficientnet) Model Architecture based. |
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**Framework:** `TensorFlow` |
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**Current Version:** V1.3 |
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**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). |
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**Key Parthner:** `Microsoft Imagine Cup 2024` |
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**Kaggle Notebook:** https://www.kaggle.com/code/armanzhalgasbayev/deepfake-detection-efficientnetb4-tf-cnn |
