Processing system, estimation apparatus, processing method, and non-transitory storage medium

A processing method executed by a computer, the method comprising:

• generating, from a first image for learning generated by capture using a first lens, a plurality of sample images being each associated with a partial region of the first image for learning;
• inputting the sample image into an estimation model generated by machine learning using learning data including a second image generated by capture using a second lens differing in characteristic from the first lens and a label indicating a content of the second image, and generating an image content estimation result indicating a content for each of the sample images;
• estimating, based on the image content estimation result for each of the sample images, a relative positional relationship of a plurality of the sample images in the first image for learning;
• determining whether an estimation result of the relative positional relationship is correct;
• and
• correcting a value of a parameter of the estimation model when an estimation result of the relative positional relationship is determined to be incorrect.

A non-transitory storage medium storing a program that causes a computer to:

• generate, from a first image for learning generated by capture using a first lens, a plurality of sample images being each associated with a partial region of the first image for learning;
• input the sample image into an estimation model generated by machine learning using learning data including a second image generated by capture using a second lens differing in characteristic from the first lens and a label indicating a content of the second image, and generate an image content estimation result indicating a content for each of the sample images;
• estimate, based on the image content estimation result for each of the sample images, a relative positional relationship of a plurality of the sample images in the first image for learning;
• determine whether an estimation result of the relative positional relationship is correct;
• and
• correct a value of a parameter of the estimation model when an estimation result of the relative positional relationship is determined to be incorrect.