1.训练配置文件中显示支持无目标框的空白样本

dataset_20250428_HardHatsV1_helmet_head_shoe_new.yaml

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+# Ultralytics YOLO 🚀, AGPL-3.0 license
+# COCO8 dataset (first 8 images from COCO train2017) by Ultralytics
+# Documentation: https://docs.ultralytics.com/datasets/detect/coco8/
+# Example usage: yolo train data=coco8.yaml
+# parent
+# ├── ultralytics
+# └── datasets
+#     └── coco8  ← downloads here (1 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: /home/admin-root/haotian/python哈汽锻8安全帽识别/DatasetHelmetHeadShoe # dataset root dir
+train: train # train images (relative to 'path') 4 images
+val: train # val images (relative to 'path') 4 images
+
+with_negatives: True  # 显式启用空白图片加载
+# test: test # test images (optional)
+
+# Classes
+names:
+  0: Helmet
+  1: Non-Helmet
+  2: Shoes
+
+# ['Gloves','Helmet','Non-Helmet','Person','Shoes','Vest','bare-arms']