SYSTEMS, METHODS, AND TECHNIQUES FOR TRAINING NEURAL NETWORKS AND UTILIZING THE NEURAL NETWORKS TO DETECT NON-COMPLIANT CONTENT

A system can include one or more processors and one or more non-transitory computer-readable storage media storing computing instructions configured to run on the one or more processors and perform: generating a training dataset for training a neural network detection model; identifying, using the n...

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Bibliographic Details
Main Authors Gandhi, Shreyansh Prakash, Krishnan, Abhinandan, Magnani, Alessandro, Kokkula, Samrat, Kandaswamy, Venkatesh, Chaudhuri, Abon
Format Patent
LanguageEnglish
Published 03.06.2021
Subjects
CALCULATING
COMPUTING
COUNTING
PHYSICS
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Summary:A system can include one or more processors and one or more non-transitory computer-readable storage media storing computing instructions configured to run on the one or more processors and perform: generating a training dataset for training a neural network detection model; identifying, using the neural network detection model, as trained, the non-compliant content in the synthetic training images; 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 comprises the non-compliant content. Other embodiments are disclosed herein.
Bibliography:Application Number: US202117174857