Yolo-12-everything/datasets/valid/labels/2008_003224_jpg.rf.97db39dbcb8e064c23c4e11cf0295aaf.txt

14 0.8271484375 0.65625 0.26953125 0.5546875
14 0.57421875 0.57421875 0.2275390625 0.4296875
14 0.197265625 0.7177734375 0.353515625 0.5546875
4 0.427734375 0.76953125 0.0517578125 0.232421875
8 0.3232421875 0.568359375 0.09765625 0.123046875
8 0.275390625 0.5283203125 0.0576171875 0.1279296875
10 0.5654296875 0.841796875 0.6904296875 0.3115234375
10 0.185546875 0.6611328125 0.37109375 0.240234375
10 0.0595703125 0.5146484375 0.119140625 0.095703125
4 0.7197265625 0.2724609375 0.0283203125 0.05859375
8 0.75390625 0.23046875 0.080078125 0.09375
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 0.8271484375 0.65625 0.26953125 0.5546875`
			`14 0.57421875 0.57421875 0.2275390625 0.4296875`
			`14 0.197265625 0.7177734375 0.353515625 0.5546875`
			`4 0.427734375 0.76953125 0.0517578125 0.232421875`
			`8 0.3232421875 0.568359375 0.09765625 0.123046875`
			`8 0.275390625 0.5283203125 0.0576171875 0.1279296875`
			`10 0.5654296875 0.841796875 0.6904296875 0.3115234375`
			`10 0.185546875 0.6611328125 0.37109375 0.240234375`
			`10 0.0595703125 0.5146484375 0.119140625 0.095703125`
			`4 0.7197265625 0.2724609375 0.0283203125 0.05859375`
			`8 0.75390625 0.23046875 0.080078125 0.09375`