Yolo-12-everything/datasets/train/labels/2009_002952_jpg.rf.f4a5aef6b1fa540b1f9f75809420a8d7.txt

8 0.5517578125 0.65234375 0.1240234375 0.3173828125
10 0.103515625 0.8388671875 0.20703125 0.314453125
8 0.0751953125 0.8759765625 0.150390625 0.2421875
8 0.1357421875 0.814453125 0.1435546875 0.349609375
15 0.69140625 0.4013671875 0.06640625 0.2958984375
15 0.927734375 0.537109375 0.0478515625 0.1728515625
15 0.892578125 0.478515625 0.0537109375 0.2587890625
15 0.7392578125 0.5400390625 0.09765625 0.1728515625
15 0.8037109375 0.509765625 0.0322265625 0.154296875
15 0.8427734375 0.546875 0.0458984375 0.1015625
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			`8 0.5517578125 0.65234375 0.1240234375 0.3173828125`
			`10 0.103515625 0.8388671875 0.20703125 0.314453125`
			`8 0.0751953125 0.8759765625 0.150390625 0.2421875`
			`8 0.1357421875 0.814453125 0.1435546875 0.349609375`
			`15 0.69140625 0.4013671875 0.06640625 0.2958984375`
			`15 0.927734375 0.537109375 0.0478515625 0.1728515625`
			`15 0.892578125 0.478515625 0.0537109375 0.2587890625`
			`15 0.7392578125 0.5400390625 0.09765625 0.1728515625`
			`15 0.8037109375 0.509765625 0.0322265625 0.154296875`
			`15 0.8427734375 0.546875 0.0458984375 0.1015625`