Yolo-12-everything/datasets/train/labels/2010_000942_jpg.rf.42d0b13728dda7eb95899a3560e17cd6.txt

8 0.0595703125 0.8935546875 0.119140625 0.197265625
8 0.974609375 0.9189453125 0.044921875 0.1474609375
14 0.8427734375 0.4619140625 0.2900390625 0.599609375
14 0.82421875 0.767578125 0.27734375 0.45703125
14 0.54296875 0.7392578125 0.2353515625 0.4453125
14 0.2529296875 0.7265625 0.294921875 0.5400390625
14 0.119140625 0.4853515625 0.2373046875 0.712890625
14 0.3154296875 0.3681640625 0.224609375 0.5166015625
14 0.5947265625 0.486328125 0.2197265625 0.54296875
15 0.7216796875 0.4619140625 0.1923828125 0.44140625
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 0.0595703125 0.8935546875 0.119140625 0.197265625`
			`8 0.974609375 0.9189453125 0.044921875 0.1474609375`
			`14 0.8427734375 0.4619140625 0.2900390625 0.599609375`
			`14 0.82421875 0.767578125 0.27734375 0.45703125`
			`14 0.54296875 0.7392578125 0.2353515625 0.4453125`
			`14 0.2529296875 0.7265625 0.294921875 0.5400390625`
			`14 0.119140625 0.4853515625 0.2373046875 0.712890625`
			`14 0.3154296875 0.3681640625 0.224609375 0.5166015625`
			`14 0.5947265625 0.486328125 0.2197265625 0.54296875`
			`15 0.7216796875 0.4619140625 0.1923828125 0.44140625`