Why CNNs Became the Standard for Computer Vision: Spatial Intelligence Explained

CNNs revolutionized computer vision by preserving spatial structure rather than flattening images into arrays. Their hierarchical feature extraction—from edges to complete objects—naturally mirrors how visual information is organized, making them far more efficient than fully connected networks. This spatial intelligence principle is why CNNs became the universal standard for image recognition.