PHOTOGRAMMETRY OF BUILDING USING MACHINE LEARNING BASED INFERENCE

The data set receiving unit 13 of the information processing apparatus 1 of an aspect example receives a data set that includes at least BIM data. The route setting processor 151 sets a route, which is arranged inside and/or outside a virtual building represented by the BIM data, based on the data set received. The virtual image set generating processor 152 generates a virtual image set of the virtual building along the route, based on the received data set and the set route. The inference model creating processor 153 creates an inference model by applying machine learning with training data that includes at least the generated virtual image set to a neural network. The inference model created is used to identify data of a building material from data acquired by measuring a building.