Electronic device and method for controlling electronic device

A method for controlling an electronic device, the method comprising:

• obtaining an image;
• inputting the obtained image to a trained artificial intelligence model;
• and
• obtaining information regarding the image from each of a plurality of classifiers which corresponds to each of a plurality of classes divided according to higher and lower concepts of an object included in the image and is included in the artificial intelligence model,
• wherein the method further comprises identifying a category,
• wherein the plurality of classes comprises a first class and a second class comprising a plurality of subcategories of each of a plurality of categories included in the first class, and
• wherein the identifying the category comprises identifying a category corresponding to the object included in the image from among the plurality of categories included in the first class based on the information regarding the image obtained from a classifier corresponding to the second class.

A non-transitory computer-readable recording medium comprising a program for executing a method for controlling an electronic device, the method for controlling the electronic device comprising:

• obtaining an image;
• inputting the obtained image to a trained artificial intelligence model;
• and
• obtaining information regarding the image from each of a plurality of classifiers which corresponds to each of a plurality of classes divided according to higher and lower concepts of an object included in the image and is included in the artificial intelligence model,
• wherein the method further comprises identifying a category,
• wherein the plurality of classes comprises a first class and a second class comprising a plurality of subcategories of each of a plurality of categories included in the first class, and
• wherein the identifying the category comprises identifying a category corresponding to the object included in the image from among the plurality of categories included in the first class based on the information regarding the image obtained from a classifier corresponding to the second class.