SYSTEMS AND METHODS FOR IDENTIFYING NON-COMPLIANT IMAGES USING NEURAL NETWORK ARCHITECTURES
摘要:
A system comprising one or more processors and one or more non-transitory computer-readable media storing computing instructions that, when executed on the one or more processors, cause the one or more processors to perform operations comprising: generating, using a fingerprinting network associated with a neural network architecture, feature embeddings corresponding to images; receiving, at an electronic platform, a first non-compliant image; identifying first non-compliant content in the first non-compliant image; and identifying, using multi-modal search options and codes based on the feature embeddings, one or more of the images comprising non-compliant content corresponding to the first non-compliant content in the first non-compliant image. Other embodiments are disclosed herein.
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