# What is a feature in computer vision?

I am new to computer vision. I know that often Convolutional Layers are used and that they apply a filter(/kernel) w over the input x of the layer: z = w*x + b (b: bias)

1. Did I understand correctly that the feature is the output of the layer after applying the filter to the input x?
2. If that is true, what is the difference between a feature and a feature map?

Thank you and best regards