A Vision Transformer (ViT) is a type of neural network model that applies the transformer architecture, originally designed for natural language processing, to computer vision tasks. It processes images as sequences of patches and uses self-attention mechanisms to understand the global context of the image, leading to high performance on various visual tasks.