MINI-BATCH LEARNING DEVICE, OPERATING PROGRAM FOR MINI-BATCH LEARNING DEVICE, OPERATING METHOD FOR MINI-BATCH LEARNING DEVICE, AND IMAGE PROCESSING DEVICE

摘要

There are provided a mini-batch learning apparatus capable of preventing a decrease in a class determination accuracy of a machine learning model for performing semantic segmentation, an operation program of the mini-batch learning apparatus, an operation method of the mini-batch learning apparatus, and an image processing apparatus. In a case where the operation program is started, a CPU of the mini-batch learning apparatus functions as a calculation unit, a specifying unit, and an update unit. The calculation unit calculates an area ratio of each of a plurality of classes in mini-batch data. The specifying unit specifies a rare class of which the area ratio is lower than a setting value. The update unit sets an update level of the machine learning model in a case where the rare class is specified by the specifying unit to be lower than an update level of the machine learning model in a case where the rare class is not specified by the specifying unit.