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Description Typically, Object Detectors and Classifiers are composed of Convolutional Neural Networks (CNNs) that can exhibit human-like feature extraction, but can also have unrelated difficulty in comprehensively comprehending the contents of an image. Understanding how such a neural network can behave when non-ideal images are processed can be integral for real-time applications. Additionally, implementing methods… Read more: Degradation Analysis in Real-Time Devices for Neural Networks