Yolo-12-everything/datasets/train/labels/2009_003351_jpg.rf.a7f33ecfc42b8f03de554adb71ed211e.txt

14 0.5166015625 0.72265625 0.076171875 0.123046875
14 0.5126953125 0.8115234375 0.08984375 0.208984375
8 0.4482421875 0.8232421875 0.05859375 0.126953125
14 0.8974609375 0.6728515625 0.037109375 0.11328125
14 0.87109375 0.6748046875 0.03125 0.08984375
15 0.900390625 0.7685546875 0.048828125 0.115234375
15 0.962890625 0.8115234375 0.05859375 0.140625
13 0.7822265625 0.7822265625 0.19921875 0.169921875
15 0.6337890625 0.931640625 0.16015625 0.12109375
15 0.1259765625 0.9365234375 0.130859375 0.126953125
3 0.4853515625 0.5283203125 0.970703125 0.677734375
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 0.5166015625 0.72265625 0.076171875 0.123046875`
			`14 0.5126953125 0.8115234375 0.08984375 0.208984375`
			`8 0.4482421875 0.8232421875 0.05859375 0.126953125`
			`14 0.8974609375 0.6728515625 0.037109375 0.11328125`
			`14 0.87109375 0.6748046875 0.03125 0.08984375`
			`15 0.900390625 0.7685546875 0.048828125 0.115234375`
			`15 0.962890625 0.8115234375 0.05859375 0.140625`
			`13 0.7822265625 0.7822265625 0.19921875 0.169921875`
			`15 0.6337890625 0.931640625 0.16015625 0.12109375`
			`15 0.1259765625 0.9365234375 0.130859375 0.126953125`
			`3 0.4853515625 0.5283203125 0.970703125 0.677734375`