Adjusting image capture parameters via machine learning

A computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a computing device to cause the computing device to:

• construct an image capture learning model based upon data collection;
• receive, via at least one lens of an image capture device, at least one captured image from a client;
• parse the at least one captured image to identify a plurality of discrete objects;
• assign a relevancy score to each of the plurality of discrete objects in the at least one captured image based upon analysis of a plurality of contextual inputs in view of the image capture learning model;
• determine at least one captured image modification option, wherein each of the at least one captured image modification option comprises at least one photographic adjustment to the plurality of discrete objects in the at least one captured image based upon assigned relevancy score;
• and
• facilitate adjustment of at least one pre-capture image parameter in view of the image capture learning model prior to capture of a subsequent image via the image capture device.

A system comprising:

• a processor;
• and
• a memory storing an application program, which, when executed on the processor, performs an operation comprising:
• constructing an image capture learning model based upon data collection;
• receiving, via at least one lens of an image capture device, at least one captured image from a client;
• parsing the at least one captured image to identify a plurality of discrete objects;
• assigning a relevancy score to each of the plurality of discrete objects in the at least one captured image based upon analysis of a plurality of contextual inputs in view of the image capture learning model;
• determining at least one captured image modification option, wherein each of the at least one captured image modification option comprises at least one photographic adjustment to the plurality of discrete objects in the at least one captured image based upon assigned relevancy score;
• and
• facilitating adjustment of at least one pre-capture image parameter in view of the image capture learning model prior to capture of a subsequent image via the image capture device.