Sighthound, Inc.

Jonathan Taylor

Syed Zain Masood

R J Burnham

Markus Hahn

Brent Richardson

Daniel Evers

Sam Michel

Embodiments for training a deep neural network by applying tags to enhanced versions of a raw data set are disclosed. In one embodiment, the raw data set may comprise, for example, images, and the method may comprise receiving the raw data set of images, applying an enhancement to the images, deriving tags based on the enhanced images while maintaining a correlation to the original raw images, and using the raw images and the tags to train a deep neural network.

Training set enhancement for neural networks

In a method of processing video images, a processor might obtain a video stream, select a set of processing pipelines from a plurality of processing pipelines, apply the set of processing pipelines to the video stream to obtain a data set of analytics data, wherein the pipeline analytics data for a processing pipeline of the set of processing pipelines comprises data about images of the video images, store the pipeline analytics data of each processing pipeline into a queryable data structure, receive queries from a user interface, and return portions of the video stream, or references thereto, in response to the queries.

Computer video analytics processor

Growing community of inventors

Maitland, FL, United States of America

Jonathan Taylor