Abstract: System and method to perform targeted image adjustments starts with a processor receiving a media content item and identifies an image adjustment parameter and an adjustment value based on the media content item. Processor generates an adjusted media content item using the image adjustment parameter and the adjustment value and causes an adjustment interface to be displayed by a display of a user device. The adjustment interface can comprise the adjusted media content item and a selectable item associated with the image adjustment parameter. The selectable item can include settings. In response to receiving a selection of one of the settings of the selectable item, processor generates a final media content item based on the selection of the one of the settings, and cause the final media content item to be displayed by the display of the user device. Other embodiments are described herein.

Abstract: A method of image quality assessment, performed by one or more processors in an image capture device, is disclosed. The method comprising receiving notification of capture of an image and in response, initiating an image assessment task to assess the quality of the image. The assessment task comprises determining suitability of the image for image quality assessment, running an image quality assessment model on the image to generate image quality assessment results, collecting data related to the capture of the image, and transmitting the results to an image quality assessment repository. The image assessment task may be a lower priority asynchronous task.