Snap Inc.

Ruogu Zeng

Subhash Sankuratripati

Vasyl Pihur

Dachuan Huang

Antonio Marcedone

Frederick Liu

Anbang Zhao

Meena De Schutter

Bo Feng

A method of image quality assessment, performed by one or more processors in an image capture device, is disclosed. The method comprising receiving notification of capture of an image and in response, initiating an image assessment task to assess the quality of the image. The assessment task comprises determining suitability of the image for image quality assessment, running an image quality assessment model on the image to generate image quality assessment results, collecting data related to the capture of the image, and transmitting the results to an image quality assessment repository. The image assessment task may be a lower priority asynchronous task.

Image visual quality assessment systems and methods

Methods, computer readable media, devices, and systems provide for distributed machine learning. In one aspect, a method of training a model is disclosed. The method includes receiving, by a client device, from one or more servers, an intermediate model, training, by the client device, the intermediate model based on private data, and transmitting, by the client device, to the one or more servers, the trained intermediate model.

Distributed machine learning for improved privacy

Growing community of inventors

Los Angeles, CA, United States of America

Ruogu Zeng