# train and val data as 1) directory: path/images/, 2) file: path/images.txt, or 3) list: [path1/images/, path2/images/]
train: models/labels/dataset/images/train/
val: models/labels/dataset/images/validation/

# number of classes
nc: 21

# class names
names: [
#frequencies
    "250",
    ".25",
    "500",
    ".5",
    "1000",
    "1",
    "1K",
    "2000",
    "2",
    "2K",
    "4000",
    "4",
    "4K",
    "8000",
    "8",
    "8K",
    "20",
    "40",
    "60",
    "80",
    "100",
]