DDL: A Large-Scale Datasets for Deepfake Detection and Localization in Diversified Real-World Scenarios

A new large-scale dataset has been introduced to improve deepfake detection and localization in various real-world scenarios. This development is crucial as the rise of AI-generated content has led to an increase in malicious deepfake usage, highlighting the need for effective detection methods. While current models excel in performance metrics, they often lack interpretability, which this new dataset aims to address. By enhancing the understanding of deepfake content, researchers can create more reliable detection systems, ultimately contributing to a safer digital environment.