Deepfake Detection Competition Baseline

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 ...

Posted on Tue, 29 Sep 2026 16:51:38 +0000 by MicahCarrick

Surface Crack Detection with CNN on Kaggle

1. Dataset Acquisition Concrete surface cracks are a primary defect in civil structures. Building inspection is performed to evaluate stiffness and tensile strangth. Crack detection plays a vital role in building health assessment. The dataset contains images of various concrete surfaces with and without cracks. The image data is divided into t ...

Posted on Thu, 11 Jun 2026 17:53:30 +0000 by Jedi Legend