Computing systems and methods for retrieving data from a library for use by downstream systems

A computer implemented method for retrieving data associated with objects from a library for providing to additional systems, applications, devices, or components, the method comprising:

• receiving, by one or more computing devices, a dataset that comprises one or more images captured by a user that depict an object;
• processing, by one or more computing devices using a neural network, the dataset to generate an embedding associated with the object;
• accessing, by the one or more computing devices, one or more libraries of a plurality of libraries, wherein each of the plurality of libraries comprises one or more cataloged embeddings respectively associated with one or more cataloged objects, wherein the one or more cataloged embeddings are grouped into the library based at least in part on similarities associated with one or more corresponding embedding characteristics of the one or more cataloged embeddings, wherein each cataloged embedding has been generated from one or more images of the associated cataloged object, wherein one or more items of content are associated with each embedding, and wherein the one or more libraries are a subset of the plurality of libraries;
• and
• associating, by one or more computing devices, the embedding with one of the cataloged objects based at least in part on a cataloged embedding associated with the cataloged object, wherein the cataloged embedding has been generated using the neural network from user-supplied imagery in the one or more libraries, wherein associating the embedding with one of the cataloged objects produces a new cataloged embedding that is accessible by the one or more computing devices.

A computing system for retrieving data associated with objects from a library for providing to additional systems, applications, devices, or components, comprising:

• one or more data storage devices that store a plurality of libraries of content, wherein each of the plurality of libraries comprises one or more cataloged embeddings respectively associated with one or more cataloged objects, wherein the one or more cataloged embeddings are grouped into the library based at least in part on similarities associated with one or more corresponding embedding characteristics of the one or more cataloged embeddings, wherein each cataloged embedding has been generated from one or more images of the associated cataloged object captured by one or more users, wherein one or more items of content are associated with each embedding;
• and
• one or more computing devices that implement a content platform that:
• receives imagery of an object from a client;
• uses an artificial neural network to generate an embedding for the object;
• searches one or more of the plurality of libraries to identify a cataloged object that has a cataloged embedding that is closest to the embedding for the object, wherein the cataloged embedding has been generated using the artificial neural network from user-supplied imagery in the one or more of the plurality of libraries;
• and
• serves to the client at least one item of content associated with the identified cataloged object.