dota.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: /home/lab/ckq/DOTA_split/  # dataset root dir
train: train/images/  # train images (relative to 'path') 118287 images
val: val/images/  # val images (relative to 'path') 5000 images
test: val/images/  # 20288 of 40670 images, submit to https://competitions.codalab.org/competitions/20794



## 针对DOTA的验证、测试的程序，需要提供验证集和测试集的完整图像和标签的路径
# 验证集的、完整图像的标签的路径
val_complete_imgs_gt_path: /home/lab/ckq/DOTA/val/labelTxt/
val_complete_imgs_ls_txt_path: /home/lab/ckq/DOTA/val/val.txt


val_split_imgs_gt_path: /home/lab/ckq/DOTA_split/val/labelTxt/
val_split_imgs_ls_txt_path: /home/lab/ckq/DOTA_split/val/val_split.txt


# Classes
nc: 15  # 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']  # class names