Learning device, learning method, and recording medium

A learning method comprising:

• selecting image data as learning data based on classification confidences from a plurality of image data, wherein each of the classification confidences indicates a likelihood of accuracy of classification for a respective one of the plurality of image data and is associated with the respective one of the plurality of image data;
• storing the selected image data;
• performing learning using the stored image data and generating a learning model;
• performing classification of the image data used for the learning by using the learning model and updating a classification confidence for the classified image data;
• and
• updating the classification confidences each associated with a respective one of the plurality of image data when a count of image data on which the classification has been performed satisfies a predetermined condition.

A non-transitory computer-readable recording medium recording a program that causes a computer to execute:

• selecting image data as learning data based on classification confidences from a plurality of image data, wherein each of the classification confidences indicates a likelihood of accuracy of classification for a respective one of the plurality of image data and is associated with the respective one of the plurality of image data;
• storing the selected image data;
• performing learning using the stored image data and generating a learning model;
• and
• performing classification of the image data used for the learning by using the learning model and updating a classification confidence for the classified image data,
• updating the classification confidences each associated with a respective one of the plurality of image data when a count of image data on which the classification has been performed satisfies a predetermined condition.