Best Image Crop Selection

A system for creating a quality annotated training data set of images for training a quality estimating neural network, comprising:

• a memory;
• and
• a processor,
• wherein the memory contains instructions that when executed by the processor causes the processor to perform a method that includes:
• receiving a set of images depicting a same object, wherein the images in the set of images have varying image quality;
• selecting, from the set of images, a probe image whose quality is to be estimated;
• selecting, from the set of images, a gallery of images, wherein the gallery of images does not include the probe image;
• comparing the probe image to each image in the gallery and generating a match score for each image comparison;
• determining, based on the match scores, a quality value for the probe image;
• and
• adding the probe image and its associated quality value to a quality annotated training data set for the neural network.

A computer program product for creating a quality annotated training data set of images for training a quality estimating neural network, comprising a computer readable storage medium having program instructions embodied therewith, wherein the computer readable storage medium is not a transitory signal per se, the program instructions being executable by a processor to perform a method comprising:

• receiving a set of images depicting a same object, wherein the images in the set of images have varying image quality;
• selecting, from the set of images, a probe image whose quality is to be estimated;
• selecting, from the set of images, a gallery of images, wherein the gallery of images does not include the probe image;
• comparing the probe image to each image in the gallery and generating a match score for each image comparison;
• determining, based on the match scores, a quality value for the probe image;
• and
• adding the probe image and its associated quality value to a quality annotated training data set for the neural network.