This project aims to develop a system for detecting GAN (Generative Adversarial Network) generated images using spatial frequency domain fusion data. The primary objective is to create a robust model that can effectively distinguish between real and generated images. This README provides an overview of the project and the structure of the repository.
The project follows a structured development plan divided into several phases. Each phase focuses on a specific aspect of the project, including data collection, preprocessing, model development, and evaluation
The system architecture defines how different components of the project are organized and connected. It includes details about data pipelines, model components, and integration with external systems. Refer to the System Architecture diagram for an overview of how the project is structured.
The Gantt chart provides a visual representation of the project's timeline, highlighting milestones and deadlines. It helps in tracking the progress of the project and ensuring that tasks are completed on time. You can refer to the Gantt Chart to understand the project's timeline.
This project is licensed under the MIT License - see the LICENSE file for details.
Feel free to reach out to the contributors for any questions or assistance related to the project.