DeepFake-Detect and DeepfakeDetector
These are **competitors** — both are standalone deepfake detection systems using EfficientNet-based architectures, with the key differentiator being that B adds a web interface for real-time analysis while A focuses on model training flexibility.
About DeepFake-Detect
aaronchong888/DeepFake-Detect
Open-source deepfake detection: train your own model with TensorFlow, Keras & EfficientNet
This tool helps you train your own custom detector to spot deepfake videos and images. You provide a collection of videos, and it processes them to identify and crop faces, then trains a model that outputs a prediction of whether a face is real or artificially manipulated. This is ideal for media analysts, content moderators, and researchers who need to verify video authenticity.
About DeepfakeDetector
TRahulsingh/DeepfakeDetector
A state-of-the-art, open-source deepfake detection system built with PyTorch and EfficientNet-B0, featuring a user-friendly web interface for real-time image and video analysis.
Quickly determine if an image or video contains a deepfake, helping you verify the authenticity of visual content. Upload your image or video file, and the system will output a prediction indicating whether it's real or fake, along with a confidence score. This tool is ideal for journalists, content moderators, social media analysts, or anyone needing to authenticate visual media.
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