Image analysis using sub-sectional component evaluation to augment classifier usage

A computer program product embodied in a non-transitory computer readable medium for image analysis, the computer program product comprising code which causes one or more processors to perform operations of:

• obtaining an image of an individual;
• identifying a face of the individual utilizing a multilayered analysis engine comprising a neural network that includes an input layer;
• evaluating the individual to be within a sub-sectional component of a population;
• and
• performing an evaluation of content of the face based on the evaluating of the individual to be within the sub-sectional component of the population, wherein the performing the evaluation of content of the face is based on modulating a sensitivity to an emotional content by selecting a first threshold for the evaluation that is associated with the sub-sectional component of the population.

A computer system for image analysis comprising:

• a memory which stores instructions;
• one or more processors attached to the memory wherein the one or more processors, when executing the instructions which are stored, are configured to:
• obtain an image of an individual;
• identify a face of the individual utilizing a multilayered analysis engine comprising a neural network that includes an input layer;
• evaluate the individual to be within a sub-sectional component of a population;
• and
• perform an evaluation of content of the face based on the evaluating of the individual to be within the sub-sectional component of the population, wherein the performing the evaluation of content of the face is based on modulating a sensitivity to an emotional content by selecting a first threshold for the evaluation that is associated with the sub-sectional component of the population.