Device, method, and program

A learning support method for a classification AI, comprising steps of:

• acquiring a plurality of defective circuit images representing a circuit layout causing a defect extracted from an existing circuit layout and a plurality of normal circuit images representing a normal circuit layout;
• inputting each of the plurality of defective circuit images into a generative AI, and acquiring a plurality of virtual images generated based on the plurality of defective circuit images by using the generative AI;
• inputting the plurality of defective circuit images, the plurality of virtual images, and the plurality of normal circuit images as training data into the classification AI;
• and
• outputting a classification AI having already learned.

A learning support program for a classification AI executed by a computer, the learning support program causing the computer to:

• acquire a plurality of defective circuit images representing a circuit layout causing a defect extracted from an existing circuit layout and a plurality of normal circuit images representing a normal circuit layout;
• input each of the plurality of defective circuit images into a generative AI, and acquire a plurality of virtual images generated based on the plurality of defective circuit images by using the generative AI;
• input the plurality of defective circuit images, the plurality of virtual images, and the plurality of normal circuit images as training data into the classification AI;
• and
• output the classification AI having already learned.