Yolo-12-everything/datasets/train/labels/2010_005398_jpg.rf.ba82036d2bae7e6886f6578440e3bdeb.txt

17 0.322265625 0.796875 0.6435546875 0.400390625
8 0.66796875 0.44921875 0.087890625 0.087890625
8 0.544921875 0.4521484375 0.09375 0.0830078125
8 0.4140625 0.5322265625 0.1396484375 0.2001953125
8 0.859375 0.5869140625 0.1337890625 0.3359375
8 0.6181640625 0.650390625 0.1201171875 0.3623046875
8 0.748046875 0.6435546875 0.1796875 0.37109375
10 0.6416015625 0.6416015625 0.419921875 0.306640625
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			`17 0.322265625 0.796875 0.6435546875 0.400390625`
			`8 0.66796875 0.44921875 0.087890625 0.087890625`
			`8 0.544921875 0.4521484375 0.09375 0.0830078125`
			`8 0.4140625 0.5322265625 0.1396484375 0.2001953125`
			`8 0.859375 0.5869140625 0.1337890625 0.3359375`
			`8 0.6181640625 0.650390625 0.1201171875 0.3623046875`
			`8 0.748046875 0.6435546875 0.1796875 0.37109375`
			`10 0.6416015625 0.6416015625 0.419921875 0.306640625`