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3. **Feature Extraction**: This is where the magic happens. PSEGPT4SE uses deep learning models, particularly convolutional neural networks (CNNs), to extract key features from the images. CNNs are designed to automatically learn hierarchical patterns and features from the raw pixel data. These features could be anything from edges and textures to complex shapes and objects.
