Information processing device, learning processing method, learning device, and object recognition device

A learning processing method executed by a computer, comprising:

• generating a distortion-corrected equivalent image on the basis of a first captured image including a subject having predetermined distortion generated due to optical operations during imaging;
• generating first teacher data in which relevant information about a target object has been added for the equivalent image in which an image region for the target object has been designated;
• converting the equivalent image included in the first teacher data into a distorted image having predetermined distortion to generate second teacher data;
• and
• generating a learning model which outputs a result obtained by identifying the target object included in a second captured image when the second captured image having predetermined distortion generated therein is input, on the basis of the second teacher data.

A learning device comprising:

• an image corrector which generates a distortion-corrected equivalent image on the basis of a first captured image including a subject having predetermined distortion generated due to optical operations during imaging;
• a first teacher data generator which generates first teacher data in which relevant information about a target object has been added for the equivalent image in which an image region for the target object has been designated;
• a second teacher data generator which converts the equivalent image included in the first teacher data into a distorted image having predetermined distortion to generate second teacher data;
• and
• a learning model generator which generates a learning model which outputs a result obtained by identifying the target object included in a second captured image when the second captured image having the predetermined distortion generated therein is input, on the basis of the second teacher data.

An object recognition device which recognizes an object using the learning model generated by a computer which:

• generates the distortion-corrected equivalent image on the basis of a first captured image including a subject having predetermined distortion generated due to optical operations during imaging;
• generates first teacher data in which relevant information about the target object has been added for the equivalent image in which an image region for the target object has been designated;
• converts the equivalent image included in the first teacher data into a distorted image having predetermined distortion to generate second teacher data;
• and
• generates the learning model which outputs a result obtained by identifying the target object included in a second captured image when the second captured image having predetermined distortion generated therein is input, on the basis of the second teacher data.