An apparatus and method for generating training data according to an embodiment is disclosed. The apparatus for generating training data according to an embodiment includes at least one processor and a memory to store instructions for executing the at least one processor, wherein upon being executed by the at least one processor, the instructions allow the at least one processor to output a first image for one sample vector from a first generator included in the apparatus, and generate a second image from a second generator included in the apparatus based on the first image and a feature map extracted from a convolution block for each stage of a lightweight target model for the first image.