Yolo-12-everything/datasets/train/labels/2011_002542_jpg.rf.93c9bd6d1ed42ee5fccb8c746d8c885c.txt

4 0.42578125 0.427734375 0.0361328125 0.146484375
10 0.5146484375 0.7275390625 0.5537109375 0.5390625
14 0.650390625 0.4130859375 0.171875 0.4111328125
14 0.28125 0.4560546875 0.177734375 0.453125
14 0.7744140625 0.6142578125 0.4482421875 0.765625
14 0.14453125 0.56640625 0.265625 0.6376953125
14 0.720703125 0.4853515625 0.25 0.4697265625
14 0.3271484375 0.125 0.1103515625 0.16015625
14 0.4833984375 0.158203125 0.0380859375 0.0830078125
14 0.41796875 0.1650390625 0.076171875 0.07421875
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			`4 0.42578125 0.427734375 0.0361328125 0.146484375`
			`10 0.5146484375 0.7275390625 0.5537109375 0.5390625`
			`14 0.650390625 0.4130859375 0.171875 0.4111328125`
			`14 0.28125 0.4560546875 0.177734375 0.453125`
			`14 0.7744140625 0.6142578125 0.4482421875 0.765625`
			`14 0.14453125 0.56640625 0.265625 0.6376953125`
			`14 0.720703125 0.4853515625 0.25 0.4697265625`
			`14 0.3271484375 0.125 0.1103515625 0.16015625`
			`14 0.4833984375 0.158203125 0.0380859375 0.0830078125`
			`14 0.41796875 0.1650390625 0.076171875 0.07421875`