Automated visual suggestion, generation, and assessment using computer vision detection

A non-transitory computer-readable medium having instructions which, when executed by a processor, cause the processor to:

• process a plurality of images, wherein for each image, the processing comprises:
• identifying one or more image concepts from the image based on computer vision analysis of the image;
• storing, in an image store, the one or more image concepts in association with the image;
• providing the image for interaction to a plurality of users of an online system;
• determining a set of users, from among the plurality of users, that interacted with the image;
• and
• storing, in an action log, an indication of the interaction;
• receive a request comprising an audience definition of an audience;
• identify the set of users based on the audience definition;
• identify one or more images interacted with by the set of users based on the action log;
• determine an image concept based on the one or more images;
• and
• generate an output based on the image concept.

A non-transitory computer-readable medium having instructions which, when executed by a processor, cause the processor to:

• identify interactions with a plurality images by a user, wherein a plurality of attributes is known about the user;
• identify a plurality of image concepts from the plurality of images;
• determine a correlation between an attribute of the user with one or more of the plurality of image concepts;
• and
• generate an image concept model based on the determined correlation.