Disclosed herein are apparatuses and methods for classifying person type in a visual medium. The implementations include identifying a person in an image, generating a visual boundary around the identified person, and dividing the image into a plurality of image portions such that multiple images portions partially depict the identified person inside the visual boundary. The implementations include generating the divided image on a user interface that prompts a user to select each portion that at least partially depicts a person of a predetermined type. The implementations include receiving a selection of at least one portion. The implementations include generating, for a machine learning model and in response to determining that the selection comprises the identified person, a training input that comprises a training image and a tag indicating that the identified person is of the predetermined type. Additionally, the implementations include storing the training input in memory.