Yolo-12-everything/datasets/train/labels/2008_006487_jpg.rf.ed69730d2d72457004c0b4420f82f3fc.txt

3 0.1689453125 0.4541015625 0.337890625 0.673828125
14 0.01953125 0.92578125 0.0390625 0.140625
14 0.041015625 0.9775390625 0.0302734375 0.0400390625
14 0.1025390625 0.953125 0.0263671875 0.0888671875
14 0.125 0.94140625 0.0263671875 0.111328125
14 0.548828125 0.916015625 0.0302734375 0.123046875
14 0.7333984375 0.8759765625 0.017578125 0.025390625
14 0.7744140625 0.8740234375 0.015625 0.0341796875
14 0.8056640625 0.9130859375 0.0439453125 0.1171875
14 0.91015625 0.9189453125 0.0322265625 0.1171875
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			`3 0.1689453125 0.4541015625 0.337890625 0.673828125`
			`14 0.01953125 0.92578125 0.0390625 0.140625`
			`14 0.041015625 0.9775390625 0.0302734375 0.0400390625`
			`14 0.1025390625 0.953125 0.0263671875 0.0888671875`
			`14 0.125 0.94140625 0.0263671875 0.111328125`
			`14 0.548828125 0.916015625 0.0302734375 0.123046875`
			`14 0.7333984375 0.8759765625 0.017578125 0.025390625`
			`14 0.7744140625 0.8740234375 0.015625 0.0341796875`
			`14 0.8056640625 0.9130859375 0.0439453125 0.1171875`
			`14 0.91015625 0.9189453125 0.0322265625 0.1171875`