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In this tutorial, we explore object detection with neural networks by comparing human and neural network object detection capabilities. We manipulate the neural network to see if we can trick it, similar to how humans might be tricked. Using a pre-trained object detection network, we resize the image to 224x224 to match ResNet's requirements. After classifying the image, we focus on the variable "cat t" to identify the detected objects.
