AI-exp-5/datasets/train/labels/-10-1_mp4-68_jpg.rf.6d3b78969ce9f24d2cbb16f6d31f06df.txt

1 0.48900462939453126 0.9233539095052082 0.4783950615234375 0.9233539095052082 0.4774305556640625 0.99665637890625 0.48900462939453126 0.99665637890625 0.48900462939453126 0.9233539095052082
2 0.49189814794921877 0.5426954733072916 0.5131172841796875 0.5118312760416667 0.5063657407226563 0.46939300390625 0.4783950615234375 0.4591049381510417 0.45524691357421876 0.47968106966145835 0.451388888671875 0.510545267578125 0.46489197509765623 0.5375514401041667 0.407986111328125 0.968364197265625 0.41859567919921875 0.9709362141927084 0.49189814794921877 0.5426954733072916
0 0.481288580078125 0.077160494140625 0.481288580078125 0.005144033203125 0.46971450634765627 0.007716049479166666 0.47067901220703123 0.077160494140625 0.481288580078125 0.077160494140625
feat(datasets): 添加新的训练和验证数据标签 - 在 train 和 valid 文件夹中添加了多个新的标签文件 - 标签文件包含了不同类型的目标检测框坐标和类别 - 新增数据有助于模型训练和性能提升 2025-06-06 10:07:28 +00:00			`1 0.48900462939453126 0.9233539095052082 0.4783950615234375 0.9233539095052082 0.4774305556640625 0.99665637890625 0.48900462939453126 0.99665637890625 0.48900462939453126 0.9233539095052082`
			`2 0.49189814794921877 0.5426954733072916 0.5131172841796875 0.5118312760416667 0.5063657407226563 0.46939300390625 0.4783950615234375 0.4591049381510417 0.45524691357421876 0.47968106966145835 0.451388888671875 0.510545267578125 0.46489197509765623 0.5375514401041667 0.407986111328125 0.968364197265625 0.41859567919921875 0.9709362141927084 0.49189814794921877 0.5426954733072916`
			`0 0.481288580078125 0.077160494140625 0.481288580078125 0.005144033203125 0.46971450634765627 0.007716049479166666 0.47067901220703123 0.077160494140625 0.481288580078125 0.077160494140625`