Visual categorization process diagram. From 20 machine clustering groups, we randomly selected 100 images from each group and placed them on a single canvas. Three experts voted on the classification, ultimately categorizing them into five physically meaningful categories. Within the randomly selected images, there was high similarity within each group and significant differences between different groups. This process demonstrated the high efficiency and convenience of our machine learning method, significantly saving time and effort.