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faceDataset.yaml
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faceDataset.yaml
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# YOLOv5 🚀 by Ultralytics, GPL-3.0 license
# COCO128 dataset https://www.kaggle.com/ultralytics/coco128 (first 128 images from COCO train2017) by Ultralytics
# Example usage: python train.py --data coco128.yaml
# parent
# ├── yolov5
# └── datasets
# └── coco128 ← downloads here (7 MB)
# 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: 'C:/Users/WS-AIML-ISE/Desktop/Minor Project - CCTV Research Project/Yolov5 - Face Detection(Training and Testing)/face-mask-dataset-yolo-format/dataset/images' # dataset root dir
train: 'C:/Users/WS-AIML-ISE/Desktop/Minor Project - CCTV Research Project/Yolov5 - Face Detection(Training and Testing)/face-mask-dataset-yolo-format/dataset/images/train' # train images (relative to 'path') 128 images
val: 'C:/Users/WS-AIML-ISE/Desktop/Minor Project - CCTV Research Project/Yolov5 - Face Detection(Training and Testing)/face-mask-dataset-yolo-format/dataset/images/valid' # val images (relative to 'path') 128 images
test: 'C:/Users/WS-AIML-ISE/Desktop/Minor Project - CCTV Research Project/Yolov5 - Face Detection(Training and Testing)/face-mask-dataset-yolo-format/dataset/images/test' # test images (optional)
# Classes
nc: 2 # number of classes
names: ['no_mask', 'mask'] # class names
# Download script/URL (optional)
download: https://ultralytics.com/assets/coco128.zip