Snap Inc.

Yanjia Li

Hao Hu

Ebony James Charlton

Kevin Dechau Tang

Xing Mei

Kevin Sarabia Dela Rosa

Described is a system for performing a set of machine learning model training operations that include: accessing media content items associated with interaction functions initiated by users of an interaction system, generating training data including labels for the media content items, extracting features from a media content item of the media content items, identifying additional media content items to include in the training data based on the extracted features from the media content item, processing the training data using a machine learning model to generate a media content item output; and updating one or more parameters of the machine learning model based on the media content item output. The system checks whether retraining criteria has been met, and repeats the set of machine learning model training operations to retrain the machine learning model.

Machine learning model continuous training system

Method for receiving an input onto a graphical user interface at a client device, capturing an image frame at the client device, the image frame comprising a depiction of an object, identifying the object within the image frame, accessing media content associated with the object within a media repository in response to identifying the object, and causing presentation of the media content within the image frame at the client device.

Contextual media filter search

A system to navigate a browser based on image data may perform operations that include: receiving a scan request from a client device, the scan request including an image that comprises image data; identifying an object depicted within the image based on the image data; determining a classification of the object; and navigating a browser associated with the client device to a resource based on the classification.

Image based browser navigation

A vehicle identification system may perform operations that include: receiving a scan request that includes an image that comprises image data; identifying one or more vehicles within the image based on the image data based on computer vision and object recognition; generating bounding boxes based on the identified vehicles; cropping the image based on one or more of the bounding boxes; classifying a vehicle depicted within the cropped image; and presenting a notification that includes a display of the classification of the vehicle at the client device.

Growing community of inventors

Torrance, CA, United States of America

Yanjia Li