Yolo-12-everything/datasets/valid/labels/2010_001682_jpg.rf.f444104d50a510201ac760e4588e91fd.txt

8 0.76171875 0.55078125 0.0556640625 0.2421875
8 0.853515625 0.5576171875 0.17578125 0.458984375
8 0.8154296875 0.7666015625 0.09375 0.4609375
8 0.392578125 0.423828125 0.1298828125 0.2080078125
4 0.265625 0.5732421875 0.080078125 0.181640625
14 0.3642578125 0.431640625 0.1279296875 0.181640625
14 0.5615234375 0.54296875 0.2158203125 0.5146484375
14 0.62890625 0.7373046875 0.3017578125 0.51953125
10 0.2568359375 0.7509765625 0.513671875 0.4931640625
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 0.76171875 0.55078125 0.0556640625 0.2421875`
			`8 0.853515625 0.5576171875 0.17578125 0.458984375`
			`8 0.8154296875 0.7666015625 0.09375 0.4609375`
			`8 0.392578125 0.423828125 0.1298828125 0.2080078125`
			`4 0.265625 0.5732421875 0.080078125 0.181640625`
			`14 0.3642578125 0.431640625 0.1279296875 0.181640625`
			`14 0.5615234375 0.54296875 0.2158203125 0.5146484375`
			`14 0.62890625 0.7373046875 0.3017578125 0.51953125`
			`10 0.2568359375 0.7509765625 0.513671875 0.4931640625`