dfdc_deepfake_challenge
deepfake-detection
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| dfdc_deepfake_challenge | deepfake-detection | |
|---|---|---|
| 3 | 1 | |
| 670 | 86 | |
| - | - | |
| 0.0 | 1.8 | |
| about 1 year ago | over 3 years ago | |
| Python | Jupyter Notebook | |
| MIT License | - |
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dfdc_deepfake_challenge
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How are deepfakes different from beauty face filters?
For example I used a scanner using this model https://github.com/selimsef/dfdc_deepfake_challenge/blob/master/README.md
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Google, Facebook and Twitter must tackle deepfakes and fake accounts, or risk EU fines up to 6% of their global turnover--not to mention healthy societies
An example of this happening is this code from two years ago. When first created, it achieved 82.56% accuracy, but only achieved around 65% accuracy with newer videos. A new paper released last month managed to achieve 99% accuracy on modern deepfakes, but it's really only a matter of months until a new deepfake algorithm is created that diminishes this substantially either using it adversarially or through a novel technique.
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Whole Dutch parliamentary of foreign affairs fooled by a deepfake zoom call of an employee of Alexei Navalny
Here's a deepfake detection github
deepfake-detection
What are some alternatives?
faceswap - Deepfakes Software For All
DFL-Colab - DeepFaceLab fork which provides IPython Notebook to use DFL with Google Colab
DeepFake-Detection - Towards deepfake detection that actually works
Face-Mask-Detection - Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras
deepfake-scanner - Deepfake Scanner by Deepware.
Deepfake-Detection
FaceForensics - Github of the FaceForensics dataset
SeqDeepFake - [ECCV 2022] PyTorch code for SeqDeepFake: Detecting and Recovering Sequential DeepFake Manipulation
Deep-Fakes
Deepfake-Detection - The Pytorch implemention of Deepfake Detection based on Faceforensics++
apartment_recommender_streamlit_app - Streamlit App that recommends apartments in Seattle using the Airbnb kaggle dataset: https://www.kaggle.com/code/rdaldian/airbnb-content-based-recommendation-system/data?select=listings.csv