S2TLD-data.yaml

# COCO 2017 dataset http://cocodataset.org

# download command/URL (optional)
# download: bash ./scripts/get_coco.sh

# train and val data as 1) directory: path/images/, 2) file: path/images.txt, or 3) list: [path1/images/, path2/images/]
# train: ./coco/train2017.txt  # 118287 images
# val: ./coco/val2017.txt  # 5000 images
# test: ./coco/test-dev2017.txt  # 20288 of 40670 images, submit to https://competitions.codalab.org/competitions/20794


# D:/projects/Pest24/VOCdevkit/voc2007/yolo_path/trian.txt



# number of classes
# nc: 80
# class names
# names: [ 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'traffic light',
#          'fire hydrant', 'stop sign', 'parking meter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow',
#          'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee',
#          'skis', 'snowboard', 'sports ball', 'kite', 'baseball bat', 'baseball glove', 'skateboard', 'surfboard',
#          'tennis racket', 'bottle', 'wine glass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple',
#          'sandwich', 'orange', 'broccoli', 'carrot', 'hot dog', 'pizza', 'donut', 'cake', 'chair', 'couch',
#          'potted plant', 'bed', 'dining table', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cell phone',
#          'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddy bear',
#          'hair drier', 'toothbrush' ]


nc: 4

train: D:/dataset/S2TLD/VOCdevkit/VOC2007/yolo_path/train.txt
val: D:/dataset/S2TLD/VOCdevkit/VOC2007/yolo_path/val.txt
test: D:/dataset/S2TLD/VOCdevkit/VOC2007/yolo_path/test.txt

names: ['red', 'yellow', 'green', 'off']