Image Recognition and Classification Methods

This MATLAB-based source code implements a deep learning approach for image classification, enabling automatic categorization of images into different classes. The algorithm employs feature extraction and pattern recognition techniques to achieve high-accuracy image classification. The implementation utilizes popular image processing and machine learning libraries including OpenCV and TensorFlow integration. Key functions involve convolutional neural networks (CNN) for feature learning, softmax classifiers for probability-based categorization, and data augmentation techniques for improved model generalization. Prior to using this code, ensure you have installed the required libraries and possess fundamental programming and machine learning knowledge. The code structure includes main modules for data preprocessing, model training, validation, and prediction phases. Should you encounter any issues or require additional assistance, please don't hesitate to ask for support.