Image processing apparatus, and operation method and operating program thereof, operating apparatus, and operation method and operating program thereof, and machine learning system

An operation method of an image processing apparatus, comprising:

• extracting, from among a plurality of designated regions in which labels of classes are designated, complicated regions which are regions of at least a part of the designated regions and are regions having relatively complicated contours, in an annotation image given as learning data to a machine learning model for performing semantic segmentation in which a plurality of the classes in an image are discriminated on a per-pixel basis;
• and
• setting additional labels for the complicated regions separately from original labels originally designated for the annotation image.

A non-transitory computer-readable storage medium storing an operating program of an image processing apparatus causing a computer to function as:

• an extraction unit that extracts, from among a plurality of designated regions in which labels of classes are designated, complicated regions which are regions of at least a part of the designated regions and are regions having relatively complicated contours, in an annotation image given as learning data to a machine learning model for performing semantic segmentation in which a plurality of the classes in an image are discriminated on a per-pixel basis;
• and
• a setting unit that sets additional labels for the complicated regions separately from original labels originally designated for the annotation image.