image-forgery-detection

The image-forgery-detection tool employs Convolutional Neural Networks (CNNs) to identify manipulated images effectively. Its primary use case is in the field of digital forensics, enabling users to discern authentic images from altered ones. Notable features include the application of advanced deep learning techniques tailored for image integrity verification.