dotav2_poly.yaml

# Train/val/test sets as 1) dir: path/to/imgs, 2) file: path/to/imgs.txt, or 3) list: [path/to/imgs1, path/to/imgs2, ..]
path: /media/test/4d846cae-2315-4928-8d1b-ca6d3a61a3c6/DOTA/DOTAv2   # dataset root dir
train: train_split_1024_gap200/images    # train images (relative to 'path') 
val: val_split_1024_gap200/images   # val images (relative to 'path') 
test: test_split_1024/images  # test images (optional)

# Classes
nc: 18  # number of classes
names: ['plane', 'baseball-diamond', 'bridge', 'ground-track-field', 'small-vehicle', 
        'large-vehicle', 'ship', 'tennis-court', 'basketball-court', 'storage-tank',  
        'soccer-ball-field', 'roundabout', 'harbor', 'swimming-pool', 'helicopter', 
        'container-crane', 'airport', 'helipad']  # class names


# Download script/URL (optional)
# download: https://ultralytics.com/assets/coco128.zip