Classification of person type in a visual medium

An apparatus for classifying person type in a visual medium, comprising:

• a memory;
• and
• a processor in communication with the memory and configured to:
• identify a person in an image using image classification;
• generate, on the image, a visual boundary around the identified person;
• divide the image into a plurality of image portions such that multiple images portions partially depict the identified person inside the visual boundary;
• generate, for display, the plurality of image portions on a user interface that prompts a user to select each portion, of the plurality of image portions, that at least partially depicts a person of a predetermined type;
• receive a selection of at least one portion in the divided image via the user interface;
• generate, for a machine learning model and in response to determine that the selection comprises the identified person inside the visual boundary, a training input that comprises a training image depicting contents inside the visual boundary and a tag indicating that the identified person inside the visual boundary is of the predetermined type;
• and
• store the training input in memory.

A computer-readable medium for classifying person type in a visual medium, executable by a processor to:

• identify a person in an image using image classification;
• generate, on the image, a visual boundary around the identified person;
• divide the image into a plurality of image portions such that multiple images portions partially depict the identified person inside the visual boundary;
• generate, for display, the plurality of image portions on a user interface that prompts a user to select each portion, of the plurality of image portions, that at least partially depicts a person of a predetermined type;
• receive a selection of at least one portion in the divided image via the user interface;
• generate, for a machine learning model and in response to determine that the selection comprises the identified person inside the visual boundary, a training input that comprises a training image depicting contents inside the visual boundary and a tag indicating that the identified person inside the visual boundary is of the predetermined type;
• and
• store the training input in memory.