Yolo-12-everything/datasets/train/labels/2011_001030_jpg.rf.44ab1aa340fd9a2b7e4e1ad84ded00b8.txt

1 0.8134765625 0.7978515625 0.3681640625 0.400390625
1 0.5009765625 0.5224609375 0.05859375 0.0361328125
1 0.4189453125 0.5224609375 0.05859375 0.0400390625
14 0.33203125 0.537109375 0.15234375 0.2822265625
14 0.0361328125 0.6533203125 0.072265625 0.166015625
14 0.16796875 0.76953125 0.3359375 0.4560546875
14 0.4345703125 0.775390625 0.2236328125 0.4423828125
14 0.529296875 0.62109375 0.0400390625 0.1416015625
14 0.3466796875 0.677734375 0.1435546875 0.236328125
14 0.8017578125 0.4482421875 0.2216796875 0.431640625
14 0.869140625 0.3837890625 0.1123046875 0.15625
2 0.4560546875 0.5439453125 0.0322265625 0.015625
2 0.4921875 0.5537109375 0.0244140625 0.01953125
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			`1 0.8134765625 0.7978515625 0.3681640625 0.400390625`
			`1 0.5009765625 0.5224609375 0.05859375 0.0361328125`
			`1 0.4189453125 0.5224609375 0.05859375 0.0400390625`
			`14 0.33203125 0.537109375 0.15234375 0.2822265625`
			`14 0.0361328125 0.6533203125 0.072265625 0.166015625`
			`14 0.16796875 0.76953125 0.3359375 0.4560546875`
			`14 0.4345703125 0.775390625 0.2236328125 0.4423828125`
			`14 0.529296875 0.62109375 0.0400390625 0.1416015625`
			`14 0.3466796875 0.677734375 0.1435546875 0.236328125`
			`14 0.8017578125 0.4482421875 0.2216796875 0.431640625`
			`14 0.869140625 0.3837890625 0.1123046875 0.15625`
			`2 0.4560546875 0.5439453125 0.0322265625 0.015625`
			`2 0.4921875 0.5537109375 0.0244140625 0.01953125`