Yolo-12-everything/datasets/valid/labels/2008_004003_jpg.rf.954c9d407a3da9fb61ae42c7a148c9b0.txt

14 0.51171875 0.4755859375 0.1123046875 0.4775390625
15 0.3310546875 0.369140625 0.0341796875 0.078125
15 0.2841796875 0.3720703125 0.0322265625 0.06640625
15 0.365234375 0.6416015625 0.158203125 0.2255859375
8 0.841796875 0.8232421875 0.1796875 0.3359375
15 0.7353515625 0.6455078125 0.1904296875 0.4384765625
15 0.1630859375 0.5537109375 0.2216796875 0.3994140625
15 0.1279296875 0.6611328125 0.2001953125 0.306640625
15 0.1669921875 0.78515625 0.162109375 0.2734375
15 0.115234375 0.7841796875 0.23046875 0.3662109375
15 0.0859375 0.9189453125 0.171875 0.15625
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 0.51171875 0.4755859375 0.1123046875 0.4775390625`
			`15 0.3310546875 0.369140625 0.0341796875 0.078125`
			`15 0.2841796875 0.3720703125 0.0322265625 0.06640625`
			`15 0.365234375 0.6416015625 0.158203125 0.2255859375`
			`8 0.841796875 0.8232421875 0.1796875 0.3359375`
			`15 0.7353515625 0.6455078125 0.1904296875 0.4384765625`
			`15 0.1630859375 0.5537109375 0.2216796875 0.3994140625`
			`15 0.1279296875 0.6611328125 0.2001953125 0.306640625`
			`15 0.1669921875 0.78515625 0.162109375 0.2734375`
			`15 0.115234375 0.7841796875 0.23046875 0.3662109375`
			`15 0.0859375 0.9189453125 0.171875 0.15625`