Using machine learning to recognize variant objects

A system, comprising:

• one or more processors configured to:
• identify an object as a variant of an object type by inputting sensed data associated with the object into a modified machine learning model corresponding to the variant of the object type, wherein the modified machine learning model corresponding to the variant of the object type is generated using a machine learning model corresponding to the object type;
• determine a sorting parameter associated with a sorting operation to be performed on the object based at least in part on the variant of the object type;
• and
• provide a control signal to a sorting device to perform the sorting operation on the object in accordance with the sorting parameter;
• and
• a memory coupled to the one or more processors and configured to provide the one or more processors with instructions.