Abstract: Disclosed are systems and methods for determining item dimension accuracy. The method can include receiving, by a computing system, dimensions data for an item and retrieving, from a data store, one or more machine learning models that were trained to determine accuracy of the dimensions data for the item relative to similar items in a same category of items. The models were trained using a training dataset of dimensions data for other items and positive dimensions accuracy determinations for the other items. The method can also include applying, by the computing system, the one or more models to the dimensions data, determining, based on application of the one or more models to the dimensions data, an accuracy metric of the dimensions data for the item, and generating output indicating the accuracy metric of the dimensions data for the item.