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Classification is the grouping of images according to their properties. During classification, each image is allocated to a characteristic property that is significant for the entire image content. This classification is done by the trained CNN. While labeling is the process of designating the image for training with a characteristic property, classification is the prediction of the property for the image under the execution of the trained neural network.
A group of images with the same label is called a class.