Image recognition device, image recognition method, and image recognition program

TLDR: In this article, an image recognition model is trained on the basis of teaching images captured by an imaging device in a first state expressed by first state information and an input image acquisition unit that acquires an image captured by the imaging devices in a second state, and second state information expressing the second state; and an image conversion unit that generates a converted image by applying to the input image, conversion processing so as to approach the image captured in the first state.

Abstract: Provided are an image recognition device, an image recognition method, and an image recognition program that require few teaching images when learning is carried out, and that have a high recognition accuracy and have a low calculation load, due to the use of state information of an imaging device at the time of imaging.　The image recognition device includes: a recognition unit which is a machine learning model trained on the basis of teaching images captured by an imaging device in a first state expressed by first state information; an input image acquisition unit that acquires an input image captured by the imaging device in a second state, and second state information expressing the second state; and an image conversion unit that, on the basis of the second state information, generates a converted image by applying, to the input image, conversion processing so as to approach the image captured in the first state.