Yolo-12-everything/datasets/train/labels/2008_007676_jpg.rf.c46d60087c60868e545f3ee6a4ff14ff.txt

14 0.533203125 0.3115234375 0.130859375 0.357421875
14 0.2255859375 0.486328125 0.322265625 0.427734375
14 0.234375 0.572265625 0.4609375 0.552734375
14 0.42578125 0.55078125 0.232421875 0.51171875
14 0.5849609375 0.572265625 0.220703125 0.6015625
14 0.7822265625 0.6787109375 0.435546875 0.642578125
10 0.3642578125 0.8583984375 0.728515625 0.283203125
14 0.1083984375 0.3896484375 0.119140625 0.154296875
14 0.181640625 0.33984375 0.072265625 0.125
14 0.9521484375 0.5 0.044921875 0.109375
14 0.8056640625 0.546875 0.388671875 0.74609375
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 0.533203125 0.3115234375 0.130859375 0.357421875`
			`14 0.2255859375 0.486328125 0.322265625 0.427734375`
			`14 0.234375 0.572265625 0.4609375 0.552734375`
			`14 0.42578125 0.55078125 0.232421875 0.51171875`
			`14 0.5849609375 0.572265625 0.220703125 0.6015625`
			`14 0.7822265625 0.6787109375 0.435546875 0.642578125`
			`10 0.3642578125 0.8583984375 0.728515625 0.283203125`
			`14 0.1083984375 0.3896484375 0.119140625 0.154296875`
			`14 0.181640625 0.33984375 0.072265625 0.125`
			`14 0.9521484375 0.5 0.044921875 0.109375`
			`14 0.8056640625 0.546875 0.388671875 0.74609375`