Yolo-12-everything/datasets/train/labels/2010_003091_jpg.rf.71c4143fb3065e929a20a6457c79825d.txt

14 0.5390625 0.4345703125 0.1015625 0.2080078125
14 0.4580078125 0.470703125 0.1357421875 0.3173828125
14 0.3837890625 0.4921875 0.2275390625 0.4296875
14 0.1513671875 0.5849609375 0.2978515625 0.60546875
14 0.8896484375 0.6630859375 0.2158203125 0.6689453125
14 0.8232421875 0.568359375 0.349609375 0.6669921875
10 0.40234375 0.8115234375 0.8037109375 0.37109375
14 0.7763671875 0.7001953125 0.076171875 0.09375
4 0.3994140625 0.72265625 0.0703125 0.3515625
4 0.6240234375 0.5546875 0.0361328125 0.17578125
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 0.5390625 0.4345703125 0.1015625 0.2080078125`
			`14 0.4580078125 0.470703125 0.1357421875 0.3173828125`
			`14 0.3837890625 0.4921875 0.2275390625 0.4296875`
			`14 0.1513671875 0.5849609375 0.2978515625 0.60546875`
			`14 0.8896484375 0.6630859375 0.2158203125 0.6689453125`
			`14 0.8232421875 0.568359375 0.349609375 0.6669921875`
			`10 0.40234375 0.8115234375 0.8037109375 0.37109375`
			`14 0.7763671875 0.7001953125 0.076171875 0.09375`
			`4 0.3994140625 0.72265625 0.0703125 0.3515625`
			`4 0.6240234375 0.5546875 0.0361328125 0.17578125`