Yolo-12-everything/datasets/train/labels/2007_007795_jpg.rf.aa9d4a794e4ed60a0e7b6c43365306c3.txt

14 0.1552734375 0.626953125 0.310546875 0.71875
14 0.3095703125 0.5546875 0.216796875 0.505859375
14 0.3828125 0.5654296875 0.138671875 0.498046875
14 0.650390625 0.5625 0.138671875 0.318359375
14 0.7373046875 0.5810546875 0.16015625 0.34375
14 0.8818359375 0.6455078125 0.177734375 0.453125
15 0.5517578125 0.7353515625 0.09765625 0.185546875
8 0.509765625 0.5322265625 0.1171875 0.181640625
15 0.5498046875 0.4296875 0.044921875 0.083984375
15 0.5146484375 0.3603515625 0.083984375 0.205078125
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 0.1552734375 0.626953125 0.310546875 0.71875`
			`14 0.3095703125 0.5546875 0.216796875 0.505859375`
			`14 0.3828125 0.5654296875 0.138671875 0.498046875`
			`14 0.650390625 0.5625 0.138671875 0.318359375`
			`14 0.7373046875 0.5810546875 0.16015625 0.34375`
			`14 0.8818359375 0.6455078125 0.177734375 0.453125`
			`15 0.5517578125 0.7353515625 0.09765625 0.185546875`
			`8 0.509765625 0.5322265625 0.1171875 0.181640625`
			`15 0.5498046875 0.4296875 0.044921875 0.083984375`
			`15 0.5146484375 0.3603515625 0.083984375 0.205078125`