Freaks City

This document outlines a baseline approach for the Inclusion Global Multimedia Deepfake Detection competition. The competition tasks participants with classifying images to detect deepfakes, using the Area Under the ROC Curve (AUC) as the primary evaluation metric. If AUC scores are tied, True Positive Rate at a False Positive Rate of 1E-3 (TPR ...

Data Preparation and Understanding Dataset Structure The competition provides training and validation datasets in the first phase. The training set (train_label.txt) is used for model training, while the validation set (val_label.txt) serves for hyperparameter tuning and model selection. Each line in these files contains two components: the ima ...