Yolo-12-everything/datasets/train/labels/2009_001042_jpg.rf.1abed3a863b71d5fae32f68f69b7e2ae.txt

14 0.7900390625 0.6044921875 0.0234375 0.08203125
14 0.75 0.6640625 0.064453125 0.232421875
14 0.66796875 0.7119140625 0.115234375 0.357421875
14 0.9453125 0.705078125 0.09765625 0.24609375
14 0.8935546875 0.5947265625 0.037109375 0.052734375
14 0.861328125 0.7509765625 0.123046875 0.408203125
14 0.8056640625 0.7880859375 0.146484375 0.423828125
18 0.4833984375 0.521484375 0.619140625 0.828125
18 0.125 0.4794921875 0.25 0.255859375
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 0.7900390625 0.6044921875 0.0234375 0.08203125`
			`14 0.75 0.6640625 0.064453125 0.232421875`
			`14 0.66796875 0.7119140625 0.115234375 0.357421875`
			`14 0.9453125 0.705078125 0.09765625 0.24609375`
			`14 0.8935546875 0.5947265625 0.037109375 0.052734375`
			`14 0.861328125 0.7509765625 0.123046875 0.408203125`
			`14 0.8056640625 0.7880859375 0.146484375 0.423828125`
			`18 0.4833984375 0.521484375 0.619140625 0.828125`
			`18 0.125 0.4794921875 0.25 0.255859375`