The use of wood cannot be separated from
human life. The benefits of wood that are often used are
as material for household appliances, furniture, and
buildings. Wood consists of a cell wall of chemical
compounds so that it has fibers. There are various types
of wood so that they can be classified based on the group.
There are 8550 wood images that will be classified using
the VGG16 and VGG19 architectures. VGG network is a
Convolutional Neural Network architecture using input
in the form of an RGB image measuring 224x224 pixels.
We use both architectures because by using them we get
the highest results with an accuracy value of 0.79% and
Keywords : Convolutional Neural Network, Deep Learning, VGG16, VGG19.