Yolo-12-everything/datasets/train/labels/2008_005677_jpg.rf.b6d7831431f7a6aec86d21fbd6dba373.txt

14 0.8125 0.8125 0.3701171875 0.3671875
14 0.8662109375 0.494140625 0.2626953125 0.48828125
14 0.697265625 0.4736328125 0.26953125 0.4541015625
14 0.1728515625 0.75 0.3447265625 0.4921875
14 0.103515625 0.5927734375 0.20703125 0.556640625
14 0.36328125 0.3427734375 0.322265625 0.4052734375
4 0.5859375 0.4599609375 0.0322265625 0.1708984375
4 0.56640625 0.4833984375 0.037109375 0.177734375
4 0.5341796875 0.453125 0.037109375 0.23828125
14 0.4541015625 0.6953125 0.287109375 0.6025390625
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 0.8125 0.8125 0.3701171875 0.3671875`
			`14 0.8662109375 0.494140625 0.2626953125 0.48828125`
			`14 0.697265625 0.4736328125 0.26953125 0.4541015625`
			`14 0.1728515625 0.75 0.3447265625 0.4921875`
			`14 0.103515625 0.5927734375 0.20703125 0.556640625`
			`14 0.36328125 0.3427734375 0.322265625 0.4052734375`
			`4 0.5859375 0.4599609375 0.0322265625 0.1708984375`
			`4 0.56640625 0.4833984375 0.037109375 0.177734375`
			`4 0.5341796875 0.453125 0.037109375 0.23828125`
			`14 0.4541015625 0.6953125 0.287109375 0.6025390625`