Yolo-12-everything/datasets/train/labels/2008_001758_jpg.rf.a03314fd0e198df7a1529f2c7681568a.txt

14 0.677734375 0.541015625 0.3076171875 0.4267578125
14 0.400390625 0.521484375 0.3115234375 0.4716796875
14 0.1767578125 0.6337890625 0.353515625 0.7275390625
4 0.8935546875 0.638671875 0.0478515625 0.2265625
14 0.7958984375 0.43359375 0.099609375 0.263671875
14 0.9111328125 0.44921875 0.0537109375 0.15234375
14 0.9560546875 0.4599609375 0.064453125 0.1201171875
10 0.5654296875 0.8515625 0.8662109375 0.291015625
14 0.2802734375 0.427734375 0.0595703125 0.0986328125
14 0.0556640625 0.3623046875 0.111328125 0.181640625
14 0.466796875 0.4306640625 0.0615234375 0.0771484375
14 0.533203125 0.453125 0.0380859375 0.080078125
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 0.677734375 0.541015625 0.3076171875 0.4267578125`
			`14 0.400390625 0.521484375 0.3115234375 0.4716796875`
			`14 0.1767578125 0.6337890625 0.353515625 0.7275390625`
			`4 0.8935546875 0.638671875 0.0478515625 0.2265625`
			`14 0.7958984375 0.43359375 0.099609375 0.263671875`
			`14 0.9111328125 0.44921875 0.0537109375 0.15234375`
			`14 0.9560546875 0.4599609375 0.064453125 0.1201171875`
			`10 0.5654296875 0.8515625 0.8662109375 0.291015625`
			`14 0.2802734375 0.427734375 0.0595703125 0.0986328125`
			`14 0.0556640625 0.3623046875 0.111328125 0.181640625`
			`14 0.466796875 0.4306640625 0.0615234375 0.0771484375`
			`14 0.533203125 0.453125 0.0380859375 0.080078125`