As an image goes through more layers in a CNN, what kind of things do the final 'pictures' (feature maps) represent?

As an image progresses through more layers in a Convolutional Neural Network (CNN), the feature maps produced by the final layers represent highly abstract, high-level, and semantically rich information about the original input image. Each layer in a CNN applies filters to its input to detect specific patterns, and the output of these filters forms a feature map, which is a two-dimensional array indicating the presence and strength of a particular feature at different locat....