Electronic apparatus for identifying a region of interest in an image and control method thereof

An electronic apparatus, comprising:

• a memory configured to store a neural network model comprising a first network and a second network, wherein the neural network model comprises weights;
• and
• at least one processor connected to the memory and configured to control the electronic apparatus,
• wherein the at least one processor is configured to:
• obtain first description information corresponding to a first image by inputting the first image to the first network using the weights,
• obtain a second image based on the first description information, and
• obtain a third image representing a first region of interest of the first image by inputting the first image and the second image to the second network using the weights,
• wherein the weights of the neural network model are trained based on:
• i) a plurality of sample images, ii) a plurality of sample description information corresponding to the plurality of sample images, and iii) a sample region of interest for each sample image of the plurality of sample images, and
• wherein the first description information comprises at least one word and the at least one processor is further configured to obtain the second image by converting each word of the at least one word to a corresponding color.