1. A system for analyzing an image using artificial intelligence comprising: a training image database comprising a plurality of images of catalog items and including annotations associated with the images, the annotations including labels specifying attributes of the catalog items depicted in the corresponding images; and a computer system configured to: train a classifier using the images and associated annotations, wherein training the classifier comprises generating, based on the images and associated annotations, classification data that is distinct from the images and associated annotations; receive a user submission specifying a first image and an item description associated with the first image, wherein the item description comprises item attributes; process the first image to extract at least a color feature, a shape feature, or a texture feature; process at least the color feature, the shape feature, or the texture feature using the trained classifier, including the classification data; identify a first item attribute associated with an item depicted in the first image based on the processing of at least the color feature, the shape feature, or the texture feature; determine whether the item description matches the first image at least partly by comparing the first item attribute with the item attributes in the item description; and when a determination is made that the first item attribute is not included in the item description, updating the item description to include the first item attribute or generating a recommendation to add the first item attribute to the item description.