Image classification (electrical engineering) is the computational process of automatically assigning a categorical label or class to a given digital image based on its visual content. Within the discipline of electrical engineering, this concept focuses on the design, development, implementation, and optimization of algorithms, systems, and hardware architectures for performing this task efficiently and accurately. This involves the application of principles from signal processing, computer vision, and machine learning, particularly leveraging techniques such as feature extraction, pattern recognition, and deep learning (e.g., convolutional neural networks). It is a foundational capability enabling automated image analysis and interpretation in diverse applications, including but not limited to computational pathology, remote sensing, media analysis, surveillance, and autonomous systems.