Abstract: A system uses a trained classifier to identify or predict the item attributes of an item depicted in an image, and compares these attributes to those specified in a corresponding item description. The system may, for example, be used to verify the accuracy of listings submitted by users to an electronic catalog. For example, if an item description submitted by a user does not specify all of the item attributes identified from the item image(s) submitted by the user, the system may generate a suggested edit to the item description.

Abstract: A system that verifies the attributes included in the description of an item using artificial intelligence is provided. For example, the system may use a feature extractor to identify color, shape, and/or texture features of a provided image. The system may then use a linear classifier to process the extracted features to identify attributes of the item depicted in the image. The system may compare the identified attributes with the attributes listed in the item's description. If there are any discrepancies, the system may revise the item description to include the identified attributes or provide suggested revisions to a user based on the identified attributes.