Trained model generating method, user environment estimating method, trained model generating device, user environment estimating device, and trained model generating system

Abstract

A trained model generating method includes: acquiring a first model obtained by performing training processing for an estimation target in a first environment by using first image data representing the estimation target in the first environment as learning data; acquiring second image data representing the estimation target in a second environment in which estimation is to be performed; generating a second model based on the first model by using the second image data as learning data; and outputting a trained model based on the second model. The second image data includes an image in which an appearance of the estimation target in the second environment is assumed based on user environment information about the second environment.