Large Vision Model

Large Vision Models are a class of artificial intelligence models designed to comprehend and interpret visual information, similar to the way Large Language Models process textual data. LVMs operate on the principles of deep learning, utilizing neural networks with a vast number of parameters to analyze and understand visual content. Unlike traditional computer vision models that depend on manually created features, LVMs are designed to automatically learn layered structures from extensive datasets. This enables them to detect intricate patterns and connections within images