data/uavdt.yaml

# train and val data as 1) directory: path/images/, 2) file: path/images.txt, or 3) list: [path1/images/, path2/images/]
train: ./UAVDT/split/train_ds.txt  # train_ds.txt
val: ./UAVDT/split/test_ds.txt  # 1.5k images
test: ./UAVDT/split/test.txt  # 

# number of classes
nc: 3

# class names
# names: ['car']
names: ['car', 'truck', 'bus']

# Print classes
# with open('data/coco.yaml') as f:
#   d = yaml.load(f, Loader=yaml.FullLoader)  # dict
#   for i, x in enumerate(d['names']):
#     print(i, x)