Yolo-12-everything/datasets/train/labels/2008_004482_jpg.rf.fa8cefef7efa6e275f4d7e06647ec87d.txt

14 0.1337890625 0.4052734375 0.1640625 0.298828125
14 0.0576171875 0.6630859375 0.115234375 0.666015625
14 0.3115234375 0.6396484375 0.2197265625 0.71484375
14 0.419921875 0.626953125 0.1796875 0.7412109375
14 0.658203125 0.61328125 0.244140625 0.7470703125
14 0.7939453125 0.595703125 0.171875 0.38671875
6 0.1328125 0.4736328125 0.265625 0.3603515625
1 0.1669921875 0.6064453125 0.1337890625 0.28515625
6 0.853515625 0.5361328125 0.2880859375 0.27734375
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 0.1337890625 0.4052734375 0.1640625 0.298828125`
			`14 0.0576171875 0.6630859375 0.115234375 0.666015625`
			`14 0.3115234375 0.6396484375 0.2197265625 0.71484375`
			`14 0.419921875 0.626953125 0.1796875 0.7412109375`
			`14 0.658203125 0.61328125 0.244140625 0.7470703125`
			`14 0.7939453125 0.595703125 0.171875 0.38671875`
			`6 0.1328125 0.4736328125 0.265625 0.3603515625`
			`1 0.1669921875 0.6064453125 0.1337890625 0.28515625`
			`6 0.853515625 0.5361328125 0.2880859375 0.27734375`