en license:mit region:us
---
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