Yolo-12-everything/datasets/train/labels/2010_000754_jpg.rf.6082612561481db59311454b9506d342.txt

10 0.42578125 0.79296875 0.7109375 0.4140625
8 0.130859375 0.8212890625 0.26171875 0.318359375
8 0.4921875 0.8447265625 0.3203125 0.310546875
8 0.6650390625 0.8251953125 0.267578125 0.349609375
8 0.6435546875 0.7919921875 0.224609375 0.416015625
8 0.2236328125 0.640625 0.154296875 0.103515625
8 0.3701171875 0.6220703125 0.107421875 0.0859375
4 0.400390625 0.439453125 0.05859375 0.04296875
4 0.408203125 0.3759765625 0.052734375 0.04296875
4 0.40234375 0.345703125 0.046875 0.037109375
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			`10 0.42578125 0.79296875 0.7109375 0.4140625`
			`8 0.130859375 0.8212890625 0.26171875 0.318359375`
			`8 0.4921875 0.8447265625 0.3203125 0.310546875`
			`8 0.6650390625 0.8251953125 0.267578125 0.349609375`
			`8 0.6435546875 0.7919921875 0.224609375 0.416015625`
			`8 0.2236328125 0.640625 0.154296875 0.103515625`
			`8 0.3701171875 0.6220703125 0.107421875 0.0859375`
			`4 0.400390625 0.439453125 0.05859375 0.04296875`
			`4 0.408203125 0.3759765625 0.052734375 0.04296875`
			`4 0.40234375 0.345703125 0.046875 0.037109375`