Teacher data generation method, trained learning model, and system

A trained learning model obtained by machine learning using image data obtained by capturing an image of a workpiece, the image data including a first portion with a first background design and a second portion with a second background design different from the first background design, each of the first portion and the second portion being segmented into a plurality of first areas,

• the trained learning model comprising:
• a first trained learning model;
• and
• a second trained learning model,
• wherein the first trained learning model is trained by machine learning using a plurality of pieces of teacher data marking whether predetermined information is included in each of the plurality of first areas in the first portion, and
• wherein the second trained learning model is trained by machine learning using a plurality of pieces of teacher data marking whether the predetermined information is included in each of the plurality of first areas in the second portion.

A learning method, comprising:

• inputting image data including a first portion with a first background design and a second portion with a second background design different from the first background design;
• training by machine learning using a plurality of pieces of teacher data marking whether predetermined information is included in each of a plurality of first areas in the first portion;
• and
• training by machine leaning using a plurality of pieces of teacher data marking whether the predetermined information is included in each of the plurality of first areas in the second portion.

A learning method, comprising:

• inputting image data obtained by capturing an image of a workpiece;
• segmenting the image data into a first area including predetermined information and a second area not including the predetermined information;
• separating each of the first area and the second area into a plurality of components;
• and
• training by machine learning using teacher data for obtaining estimated values of the plurality of components in the first area and teacher data for obtaining estimated values of the plurality of components in the second area.

A system comprising:

• an image capturing apparatus;
• and
• a processing apparatus including a trained learning model configured to receive image data obtained by capturing an image by the image capturing apparatus,
• wherein the trained learning model is created by marking whether predetermined information is included in each of a plurality of first areas in image data obtained by capturing an image of a first workpiece by the image capturing apparatus, and
• wherein second image data obtained by capturing an image of a second workpiece by the image capturing apparatus is input to the trained learning model and a determination is made on the second workpiece based on the second image data.

A system comprising:

• an image capturing apparatus;
• and
• a processing apparatus including a trained learning model configured to receive image data obtained by capturing an image by the image capturing apparatus,
• wherein the trained learning model is created by inputting difference information indicating a difference between first image data obtained by capturing an image of a first workpiece by the image capturing apparatus and second image data different from the first image data, and
• wherein difference information indicating a difference between third image data obtained by capturing an image of a second workpiece by the image capturing apparatus and fourth image data different from the third image data is input to the trained learning model and a determination is made on the second workpiece.