Computing devices, such as mobile computing devices, have access to one or more image sensors that can capture images with multiple subjects. Some of these subjects may be known to the user capturing an image with the image sensor. The user may prefer to have the captured image data be optimized around the known subjects. Low-power, fast-response machine learning logic can be configured to allow for the generation of a plurality of inference data. This inference data can be utilized along with other sensor data, such as a motion sensor, for the generation of one or more image sensor configuration changes that may be implemented to optimize the subsequent capture of image data. This cycle of image data analysis, image sensor optimization, and subsequent capture can continue multiple times until a threshold of optimization or time is met. The captured image data optimized around the known subjects is then stored.