Learning apparatus, estimation apparatus, learning method, and non-transitory storage medium

Abstract

The present invention provides a learning apparatus () including: an acquisition unit () that acquires an image; a similarity computation unit () that computes a similarity between the acquired image, and a first image being accumulated in advance and indicating an abnormal state; a registration unit () that registers, as a second image indicating a normal state, the acquired image whose similarity is equal to or less than a first reference value; and a learning unit () that generates an estimation model for discriminating between normal and abnormal by machine learning using the first image and the second image.