Patent ID: 11971925
Assignee: GOOGLE LLC
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A method implemented using one or more processors, comprising:
obtaining one or more digital image files accessed by a user with one or more client devices;
applying the one or more digital image files as input across one or more trained object recognition machine learning models, wherein the one or more trained object recognition machine learning models generate output indicative of a plurality of objects detected in the one or more digital image files;
based on the plurality of detected objects, and using a topic hierarchy, identifying a genus that captures two or more detected objects within the plurality, wherein the identifying is further based on one or more measures of focus at which the two or more detected objects within the plurality are depicted in the one or more digital image files, wherein the one or more measures of focus indicate how blurry the two or more detected objects are compared to one or more other detected objects in the one or more digital image files;
identifying the genus as a topic of potential relevance to the user;
storing an association between the topic of potential relevance to the user and predetermined content contained in a database; and
based on the stored association, curating the predetermined content for presentation as output at one or more of the client devices operated by the user.