1. An image processing apparatus comprising: at least one processor configured to execute: a setting unit that sets a plurality of object regions for detecting a target cell in each of captured images obtained by imaging a sample including the target cell; a first display control unit that performs display control of at least a part of the set plurality of object regions in a first order determined using a first image feature quantity calculated in each of the set plurality of object regions, wherein the at least one processor is configured to use the first image feature quantity in a machine learning process for identifying the target cell; and a second display control unit that performs display control of at least a part of the set plurality of object regions in a second order determined using similarities of a second image feature quantity calculated in each of the set plurality of object regions relative to the second image feature quantity calculated in a reference object region selected from at least a part of the set plurality of object regions subjected to the display control of the first display control unit, wherein the machine learning process for identifying the target cell is performed without using a feature quantity included in the second image feature quantity.