Machine learning architecture for peer-based image scoring

A non-transitory, computer-readable medium including instructions which, when executed by one or more processors, cause the one or more processors to:

• display, via an interactive graphic user interface (GUI), a first user interface including a target image;
• in response to a selection of the target image, display, via the interactive GUI, a second user interface including a target audience selection element;
• in response to a selection of a target audience using the target audience selection element, display, via the interactive GUI, a third user interface including a benchmark selection element;
• and
• in response to a selection of a benchmark using the benchmark selection element:
• execute a target audience machine learning model using as input the target image to generate a performance score indicating a performance of the target image for the target audience;
• and
• display, via the interactive GUI, a fourth user interface including the target image and benchmark images corresponding to the benchmark, the target image and the benchmark images ranked according to performance scores for the target audience including the generated performance score of the target image.

A non-transitory, computer-readable medium including instructions which, when executed by one or more processors, cause the one or more processors to:

• display, via an interactive graphic user interface (GUI), a first user interface including a plurality of images and a task selection element;
• in response to a selection of a ranking task using the task selection element:
• execute a target audience machine learning model using as input the plurality of images to generate performance scores for the plurality of images indicating a performance of the plurality of images for the target audience;
• display, via the interactive GUI, a second user interface including the plurality of images ranked according to the performance scores;
• and
• store the performance scores of the plurality of images as a benchmark.