Vision Transformers (ViTs)

Vision Transformers (ViTs) are a type of artificial intelligence model designed to analyze images in a way similar to how they process text. Instead of using traditional methods that focus on small parts of an image, ViTs divide an image into smaller patches, like tiny tiles. These tiles are then processed collectively, allowing the model to understand the overall picture by capturing relationships between different parts. By applying attention mechanisms—ways of focusing on the most relevant parts—ViTs effectively recognize patterns, objects, and details, making them powerful for tasks like image classification, object detection, and more.