Yann LeCun’s convolutional networks read handwritten digits in the 1990s, and AlexNet’s 2012 ImageNet victory made CNNs the foundation of modern computer vision. Weight sharing across positions makes them efficient and good at recognizing a pattern wherever it appears.
Vision Transformers now rival or replace CNNs in many tasks, but convolutions remain common in efficient models for phones and embedded devices.