CPC G06N 3/08 (2013.01) [G06T 3/4015 (2013.01); G06T 3/4046 (2013.01); G06T 7/90 (2017.01); G06T 11/20 (2013.01); G06T 11/40 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01)] | 17 Claims |
1. An information processing apparatus that generates learning data used for machine learning, the apparatus comprising:
a processor; and
a memory, including instructions thereon, which when executed by the processor cause the apparatus to:
acquire a teacher image group;
analyze a distribution characteristic of teacher images consisting of the teacher image group; and
generate a teacher image group uniform in the distribution characteristic based on results of the analysis, wherein the distribution characteristic represents a distribution in the teacher image group of at least one of three attributes of color,
wherein generating the teacher image group uniform in a distribution characteristic is performed by adding an image that fills in a sparse portion in the distribution characteristic to the analyzed teacher image group,
wherein the image that fills in the sparse portion is an image including pixels having a first color attribute value whose appearance frequency in the distribution characteristic obtained by the analysis is lower than a threshold and pixels having a second attribute value different from the first color attribute, and is an image generated in accordance with combinations of the first color attribute and the second color attribute.
|