Yolo-12-everything/datasets/train/labels/2009_003654_jpg.rf.f6863d4d9e9fca9a0b9c6d9bcf77e7f8.txt

10 0.689453125 0.515625 0.62109375 0.95703125
7 0.451171875 0.4091796875 0.451171875 0.3984375
8 0.3681640625 0.5 0.716796875 1
8 0.2373046875 0.490234375 0.474609375 0.96875
8 0.9296875 0.5576171875 0.140625 0.365234375
15 0.630859375 0.404296875 0.171875 0.263671875
15 0.0771484375 0.337890625 0.05078125 0.099609375
15 0.033203125 0.3759765625 0.056640625 0.109375
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			`10 0.689453125 0.515625 0.62109375 0.95703125`
			`7 0.451171875 0.4091796875 0.451171875 0.3984375`
			`8 0.3681640625 0.5 0.716796875 1`
			`8 0.2373046875 0.490234375 0.474609375 0.96875`
			`8 0.9296875 0.5576171875 0.140625 0.365234375`
			`15 0.630859375 0.404296875 0.171875 0.263671875`
			`15 0.0771484375 0.337890625 0.05078125 0.099609375`
			`15 0.033203125 0.3759765625 0.056640625 0.109375`