Yolo-12-everything/datasets/train/labels/2008_002311_jpg.rf.40f846834a267fc3a79eddfbba58953c.txt

4 0.7841796875 0.884765625 0.17578125 0.2255859375
4 0.9638671875 0.9521484375 0.06640625 0.091796875
4 0.65625 0.857421875 0.1435546875 0.2822265625
4 0.4697265625 0.6162109375 0.197265625 0.5400390625
10 0.625 0.7822265625 0.744140625 0.431640625
8 0.8935546875 0.4697265625 0.2080078125 0.232421875
8 0.7890625 0.5341796875 0.1865234375 0.1435546875
8 0.09765625 0.5703125 0.1943359375 0.3876953125
14 0.5224609375 0.5478515625 0.810546875 0.900390625
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			`4 0.7841796875 0.884765625 0.17578125 0.2255859375`
			`4 0.9638671875 0.9521484375 0.06640625 0.091796875`
			`4 0.65625 0.857421875 0.1435546875 0.2822265625`
			`4 0.4697265625 0.6162109375 0.197265625 0.5400390625`
			`10 0.625 0.7822265625 0.744140625 0.431640625`
			`8 0.8935546875 0.4697265625 0.2080078125 0.232421875`
			`8 0.7890625 0.5341796875 0.1865234375 0.1435546875`
			`8 0.09765625 0.5703125 0.1943359375 0.3876953125`
			`14 0.5224609375 0.5478515625 0.810546875 0.900390625`