Systems, methods, and techniques for training neural networks and utilizing the neural networks to detect non-compliant content

US10922584B2 · kind B2 · utility

Assignee

• Walmart Apollo, LLC · US

Inventors

• Shreyansh Prakash Gandhi · Milpitas, US
• Alessandro Magnani · Menlo Park, US
• Abhinandan Krishnan · Sunnyvale, US
• Abon Chaudhuri · Sunnyvale, US
• Samrat Kokkula · Santa Clara, US
• Venkatesh Kandaswamy · San Ramon, US

Key dates

• Filing date: Jan 30, 2019
• Grant date: Feb 16, 2021
• Expiry date: Jun 1, 2039

Classification

• Technology area (CPC G): Physics
• CPC primary: G06V2201/09
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

Systems and methods including one or more processing modules and one or more non-transitory storage modules storing computing instructions configured to run on the one or more processing modules and perform acts of: generating a training dataset comprising synthetic training images for training a neural network detection model to identify non-compliant content in images; executing a training procedure that utilizes the synthetic training images to train the neural network detection model to identify the non-compliant content; receiving, at the neural network detection model, at least one image; and utilizing the neural network detection model to determine whether the at least one image includes the non-compliant content. Other embodiments are disclosed herein.