In recent years, artificial intelligence image recognition technology, especially systems based on deep learning, has made significant progress. However, despite these developments, the mechanisms of AI algorithms that monitor and analyze images remain mysterious. While humans can easily identify objects and patterns in images, AI systems rely on complex mathematical models to perform this task. The essence of AI image recognition technology lies in the complex process through which algorithms interpret visual data. One of the fundamental challenges in this field is understanding how AI models integrate different concepts to make decisions.
