Yolo-12-everything/datasets/train/labels/2008_007531_jpg.rf.8abc5e9dfe77daff942e8c8ce362cd63.txt

12 0.5322265625 0.7177734375 0.1357421875 0.1015625
12 0.427734375 0.712890625 0.091796875 0.103515625
12 0.365234375 0.71875 0.1259765625 0.109375
12 0.193359375 0.7177734375 0.1298828125 0.1123046875
12 0.0478515625 0.7158203125 0.095703125 0.1142578125
12 0.0673828125 0.7158203125 0.09375 0.103515625
14 0.5419921875 0.6826171875 0.0400390625 0.0537109375
14 0.4228515625 0.689453125 0.0380859375 0.0556640625
14 0.3798828125 0.68359375 0.0400390625 0.0556640625
14 0.205078125 0.685546875 0.0419921875 0.0537109375
14 0.0400390625 0.681640625 0.0439453125 0.0556640625
14 0.0615234375 0.6689453125 0.0322265625 0.0322265625
feat(datasets): 添加新的训练和验证标签文件 - 在 train 和 valid 文件夹下添加了多个新的标签文件 - 标签文件包含不同类别的对象标注信息- 新增的标签文件将有助于模型训练和评估 2025-06-03 15:13:32 +00:00			`12 0.5322265625 0.7177734375 0.1357421875 0.1015625`
			`12 0.427734375 0.712890625 0.091796875 0.103515625`
			`12 0.365234375 0.71875 0.1259765625 0.109375`
			`12 0.193359375 0.7177734375 0.1298828125 0.1123046875`
			`12 0.0478515625 0.7158203125 0.095703125 0.1142578125`
			`12 0.0673828125 0.7158203125 0.09375 0.103515625`
			`14 0.5419921875 0.6826171875 0.0400390625 0.0537109375`
			`14 0.4228515625 0.689453125 0.0380859375 0.0556640625`
			`14 0.3798828125 0.68359375 0.0400390625 0.0556640625`
			`14 0.205078125 0.685546875 0.0419921875 0.0537109375`
			`14 0.0400390625 0.681640625 0.0439453125 0.0556640625`
			`14 0.0615234375 0.6689453125 0.0322265625 0.0322265625`