Yolo-12-everything/datasets/train/labels/2009_003265_jpg.rf.f5a0189cf7c0d6f3e4ad23dd1bf82458.txt

10 0.48828125 0.7958984375 0.453125 0.408203125
8 0.607421875 0.875 0.2890625 0.25
8 0.052734375 0.8671875 0.10546875 0.21875
8 0.0771484375 0.693359375 0.068359375 0.2421875
4 0.47265625 0.599609375 0.046875 0.193359375
14 0.3662109375 0.365234375 0.427734375 0.572265625
19 0.4833984375 0.40625 0.166015625 0.173828125
14 0.255859375 0.6748046875 0.35546875 0.634765625
14 0.796875 0.5908203125 0.3359375 0.818359375
14 0.6416015625 0.4990234375 0.20703125 0.35546875
4 0.53125 0.560546875 0.041015625 0.0859375
8 0.953125 0.7568359375 0.068359375 0.314453125
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 0.48828125 0.7958984375 0.453125 0.408203125`
			`8 0.607421875 0.875 0.2890625 0.25`
			`8 0.052734375 0.8671875 0.10546875 0.21875`
			`8 0.0771484375 0.693359375 0.068359375 0.2421875`
			`4 0.47265625 0.599609375 0.046875 0.193359375`
			`14 0.3662109375 0.365234375 0.427734375 0.572265625`
			`19 0.4833984375 0.40625 0.166015625 0.173828125`
			`14 0.255859375 0.6748046875 0.35546875 0.634765625`
			`14 0.796875 0.5908203125 0.3359375 0.818359375`
			`14 0.6416015625 0.4990234375 0.20703125 0.35546875`
			`4 0.53125 0.560546875 0.041015625 0.0859375`
			`8 0.953125 0.7568359375 0.068359375 0.314453125`