darknet/cfg/vgg-conv.cfg

[net]
batch=1
subdivisions=1
width=224
height=224
channels=3
learning_rate=0.00001
momentum=0.9
seen=0
decay=0.0005

[convolutional]
filters=64
size=3
stride=1
pad=1
activation=relu

[convolutional]
filters=64
size=3
stride=1
pad=1
activation=relu

[maxpool]
size=2
stride=2

[convolutional]
filters=128
size=3
stride=1
pad=1
activation=relu

[convolutional]
filters=128
size=3
stride=1
pad=1
activation=relu

[maxpool]
size=2
stride=2

[convolutional]
filters=256
size=3
stride=1
pad=1
activation=relu

[convolutional]
filters=256
size=3
stride=1
pad=1
activation=relu

[convolutional]
filters=256
size=3
stride=1
pad=1
activation=relu

[maxpool]
size=2
stride=2

[convolutional]
filters=512
size=3
stride=1
pad=1
activation=relu

[convolutional]
filters=512
size=3
stride=1
pad=1
activation=relu

[convolutional]
filters=512
size=3
stride=1
pad=1
activation=relu

[maxpool]
size=2
stride=2

[convolutional]
filters=512
size=3
stride=1
pad=1
activation=relu

[convolutional]
filters=512
size=3
stride=1
pad=1
activation=relu

[convolutional]
filters=512
size=3
stride=1
pad=1
activation=relu

[maxpool]
size=2
stride=2