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Abstract

A learning model generation method is a method for generating a learning model for use in machine learning to automatically examine the number of target objects accommodated in a container. The method includes: by a device that generates the learning model, a step of inputting model data which represents a shape of the container and a shape of a target object in an image; a step of creating, by using the model data, a plurality of unit formative assemblies each having a plurality of target objects arranged in a specific array and arranging the unit formative assemblies in a container area corresponding to the container in a specific formation to create shape image data of the container accommodating the target objects at a specific density; and a step of creating training image data for use in establishing the learning model by applying processing of giving a real texture of each of the container and the target object to the shape image data.

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First Claim