Yolo-12-everything/datasets/train/labels/2009_001412_jpg.rf.67a71ef67c82c3b49f568a77b8ed6a32.txt

5 0.0849609375 0.4482421875 0.169921875 0.130859375
6 0.0283203125 0.5146484375 0.056640625 0.080078125
18 0.51953125 0.490234375 0.70703125 0.462890625
15 0.2392578125 0.6220703125 0.037109375 0.046875
15 0.3115234375 0.6376953125 0.04296875 0.048828125
15 0.3974609375 0.66015625 0.044921875 0.0546875
15 0.4990234375 0.6845703125 0.05078125 0.0546875
15 0.6015625 0.705078125 0.0546875 0.060546875
15 0.8193359375 0.7314453125 0.048828125 0.056640625
14 0.7666015625 0.6650390625 0.06640625 0.16796875
14 0.7294921875 0.5537109375 0.03125 0.052734375
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			`5 0.0849609375 0.4482421875 0.169921875 0.130859375`
			`6 0.0283203125 0.5146484375 0.056640625 0.080078125`
			`18 0.51953125 0.490234375 0.70703125 0.462890625`
			`15 0.2392578125 0.6220703125 0.037109375 0.046875`
			`15 0.3115234375 0.6376953125 0.04296875 0.048828125`
			`15 0.3974609375 0.66015625 0.044921875 0.0546875`
			`15 0.4990234375 0.6845703125 0.05078125 0.0546875`
			`15 0.6015625 0.705078125 0.0546875 0.060546875`
			`15 0.8193359375 0.7314453125 0.048828125 0.056640625`
			`14 0.7666015625 0.6650390625 0.06640625 0.16796875`
			`14 0.7294921875 0.5537109375 0.03125 0.052734375`