Suggesting image files for deletion based on image file parameters

A method comprising:

• determining, using a computing device, a plurality of image file parameters for each of a plurality of image files stored on a storage medium;
• retrieving, using the computing device, a plurality of weights corresponding to the plurality of image file parameters;
• determining, using the computing device, a probability score for each of the plurality of image files based at least in part on applying at least some of the plurality of weights to a corresponding at least some of the plurality of image file parameters;
• automatically identifying, using the computing device, at least one candidate image file for deletion based at least in part on the probability score substantially meeting or exceeding a threshold;
• and
• graphically distinguishing, using the computing device, the at least one candidate image file from the plurality of image files by displaying a graphical selection icon in proximity to a display of the at least one candidate image file.

A computer-readable storage medium comprising instructions that, when executed by one or more processing devices, cause the one or more processing devices to:

• determine a plurality of image file parameters for each of a plurality of image files stored on a storage medium;
• access a plurality of weights corresponding to the plurality of image file parameters;
• determine a probability score for each of the plurality of image files based at least in part on applying at least some of the plurality of weights to a corresponding at least some of the plurality of image file parameters;
• automatically identify a plurality of candidate image files for deletion based at least in part on the probability score for each of the plurality of candidate image files substantially meeting or exceeding a threshold;
• and
• graphically distinguish the plurality of candidate image files from the plurality of image files by displaying a graphical selection icon in proximity to each of the plurality of candidate image files.