Yolo-12-everything/datasets/train/labels/2008_007717_jpg.rf.6c8dd11e141d5688eeca79617f453b6a.txt

8 0.1103515625 0.7705078125 0.154296875 0.396484375
8 0.833984375 0.8203125 0.1640625 0.359375
8 0.8623046875 0.599609375 0.048828125 0.09375
4 0.4814453125 0.56640625 0.037109375 0.1328125
14 0.6064453125 0.42578125 0.140625 0.255859375
14 0.68359375 0.48828125 0.22265625 0.37890625
14 0.7646484375 0.70703125 0.310546875 0.5859375
14 0.2431640625 0.6552734375 0.345703125 0.662109375
14 0.3408203125 0.455078125 0.173828125 0.353515625
14 0.3916015625 0.4033203125 0.125 0.310546875
10 0.4765625 0.7431640625 0.46484375 0.513671875
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			`8 0.1103515625 0.7705078125 0.154296875 0.396484375`
			`8 0.833984375 0.8203125 0.1640625 0.359375`
			`8 0.8623046875 0.599609375 0.048828125 0.09375`
			`4 0.4814453125 0.56640625 0.037109375 0.1328125`
			`14 0.6064453125 0.42578125 0.140625 0.255859375`
			`14 0.68359375 0.48828125 0.22265625 0.37890625`
			`14 0.7646484375 0.70703125 0.310546875 0.5859375`
			`14 0.2431640625 0.6552734375 0.345703125 0.662109375`
			`14 0.3408203125 0.455078125 0.173828125 0.353515625`
			`14 0.3916015625 0.4033203125 0.125 0.310546875`
			`10 0.4765625 0.7431640625 0.46484375 0.513671875`