Deepfake Detection Challenge: Baseline Implementation with EfficientNet
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 ...
Posted on Tue, 14 Jul 2026 16:42:08 +0000 by Mr. R
Building a Deepfake Image Detector with EfficientNet and PyTorch
Detecting manipulated media generated by deeppfake algorithms is a pressing challenge. This article presents an end-to-end pipeline for training a binary image classifier that distinguishes real faces from synthetically generaetd ones using EfficientNet, PyTorch, and the timm library.
Task Overview and Data Format
The objective is to assign a p ...
Posted on Fri, 15 May 2026 11:38:16 +0000 by MattAdamson