Google Inc.

Ariel Gilder

Hartwig Adam

Li Zhang

Yuzo Watanabe

David Karam

Eric Penner

Farooq Ahmad

Alexandros Panagopoulos

Piotr Zielinski

The present disclosure is directed to processing imagery using one or more machine learning (ML) models. In particular, data describing imagery comprising a plurality of different and distinct frames can be received; and based at least in part on one or more ML models and the data describing the imagery, and for each frame of the plurality of different and distinct frames, one or more scores can be determined for the frame. Each score of the score(s) can indicate a determined measure of suitability of the frame with respect to one or more of various different and distinct uses for which the ML model(s) are configured to determine suitability of imagery.

Methods and systems for processing imagery

The present disclosure provides computing systems and methods for cataloging, retrieving, and/or organizing user-generated content associated with objects. Aspects of the disclosure are directed to a systems and methods which utilize computers to enable users to interact with libraries of user-generated content associated with cataloged objects. For example, a user can capture one or more images of a real-world object, label or otherwise annotate the object with various types of user-generated content and organize the object and its associated content into one or more libraries. The user-generated content can then be provided to other users upon the receipt of images of the same object or an object displaying similar features.

Computing systems and methods for cataloging, retrieving, and organizing user-generated content associated with objects

Growing community of inventors

Fair Lawn, NJ, United States of America

Ariel Gilder