In this study, images and text data about food were collected through keyword search. The goal is to make text consistent with images, exclude images that do not match the text description, and group images of the same type into a food category.
Then, VGG-16 is used to analyze the image feature vectors, and according to the image feature vectors, the collected images with the same features will be classified.
This method can search related images more accurately.