Non-transitory computer-readable storage medium, learning device, and learning method

A learning device comprising:

• a memory;
• and
• a processor coupled to the memory and configured to:
• generate a first trained model, based on first data to be detected and second data to be undetected, for detecting the first data,
• specify information and a data amount of third data that has been detected as the first data among newly input second data by the first trained model,
• specify fourth data to be undetected by replacing at least part of the second data with the third data, the at least part of the second data being specified according to information of the newly input second data and the data amount of the third data, and
• generate a second trained model, based on the first data and the fourth data, for detecting the first data.

A learning method comprising:

• generating a first trained model, based on first data to be detected and second data to be undetected, for detecting the first data;
• specifying information and a data amount of third data that has been detected as the first data among newly input second data by the first trained model;
• specifying fourth data to be undetected by replacing at least part of the second data with the third data, the at least part of the second data being specified according to information of the newly input second data and the data amount of the third data;
• and
• generating a second trained model, based on the first data and the fourth data, for detecting the first data.