Abstract: A first region within image data corresponding to a first portion of a user is determined, and a classifier associated with the first portion of the user is determined. A second region within the image data that includes the first region is determined. Within the second region, first pixels corresponding to the first portion of the user, second pixels corresponding to a second portion of the user adjoined to the first portion of the user, and third pixels corresponding to an environment of the user are identified. Based on identifying the second pixels, the classifier associated with the first portion of the user is confirmed. Upon the confirmation an item is rendered on the first portion of the user.

Abstract: A method includes extracting, using a backbone of a machine learning model, a plurality of features from an image of a foot and predicting, using a first portion of the machine learning model and based on one or more features of the plurality of features, a first aspect of the foot. The method also includes predicting, using a second portion of the machine learning model and based on one or more features of the plurality of features, a second aspect of the foot different from the first aspect, generating, using at least the first aspect and the second aspect, a two-dimensional model of a shoe, and superimposing the two-dimensional model of the shoe onto the image of the foot.