Yolo-12-everything/datasets/train/labels/2009_000164_jpg.rf.c93cabeb390dc0c545f167e3ace94c17.txt

14 0.49609375 0.7001953125 0.244140625 0.51953125
14 0.482421875 0.6162109375 0.435546875 0.7626953125
8 0.6689453125 0.78125 0.4462890625 0.431640625
10 0.1083984375 0.4091796875 0.2119140625 0.3388671875
8 0.16796875 0.3564453125 0.1123046875 0.3115234375
8 0.0439453125 0.419921875 0.083984375 0.2421875
8 0.0146484375 0.220703125 0.029296875 0.05859375
8 0.1923828125 0.205078125 0.0361328125 0.05859375
15 0.1005859375 0.236328125 0.0615234375 0.0986328125
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			`14 0.49609375 0.7001953125 0.244140625 0.51953125`
			`14 0.482421875 0.6162109375 0.435546875 0.7626953125`
			`8 0.6689453125 0.78125 0.4462890625 0.431640625`
			`10 0.1083984375 0.4091796875 0.2119140625 0.3388671875`
			`8 0.16796875 0.3564453125 0.1123046875 0.3115234375`
			`8 0.0439453125 0.419921875 0.083984375 0.2421875`
			`8 0.0146484375 0.220703125 0.029296875 0.05859375`
			`8 0.1923828125 0.205078125 0.0361328125 0.05859375`
			`15 0.1005859375 0.236328125 0.0615234375 0.0986328125`