Vision Transformers

Vision Transformers (ViTs) are a type of artificial intelligence model used for image recognition and processing. Unlike traditional models that analyze images as a whole, ViTs break images into smaller patches, treating each patch like a word in a sentence. They then use attention mechanisms to understand the relationships between these patches, helping the model learn details and context effectively. This approach leverages the success of transformers in natural language processing, allowing ViTs to achieve high accuracy in tasks such as object detection and classification, making them powerful tools in computer vision.