Welcome to Fusionet, a comprehensive multi-modal architecture for deepfake detection. Let's walk through the entire pipeline step by step."
james hems
The process begins with input data, which could be in the form of audio, video, or images. Before the model processes this data, it goes through a crucial preprocessing phase. This includes collecting datasets, splitting the data into individual components, reducing noise, normalizing pixel values, and augmenting the data with transformations like rotation or cropping. This step ensures that the data is clean and well-prepared for feature extraction.
