Yolo-12-everything/datasets/train/labels/2008_003407_jpg.rf.e960787047214aa973366f15678c8d8f.txt

14 0.103515625 0.66015625 0.20703125 0.59765625
8 0.0966796875 0.798828125 0.162109375 0.361328125
14 0.2490234375 0.537109375 0.09375 0.201171875
14 0.357421875 0.62109375 0.150390625 0.7509765625
14 0.7275390625 0.7919921875 0.17578125 0.4091796875
14 0.7607421875 0.6982421875 0.1103515625 0.21484375
14 0.919921875 0.712890625 0.15625 0.2666015625
8 0.9169921875 0.9111328125 0.162109375 0.1708984375
8 0.6767578125 0.8720703125 0.1064453125 0.2421875
14 0.5244140625 0.7373046875 0.1240234375 0.5185546875
14 0.4580078125 0.607421875 0.0556640625 0.205078125
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 0.103515625 0.66015625 0.20703125 0.59765625`
			`8 0.0966796875 0.798828125 0.162109375 0.361328125`
			`14 0.2490234375 0.537109375 0.09375 0.201171875`
			`14 0.357421875 0.62109375 0.150390625 0.7509765625`
			`14 0.7275390625 0.7919921875 0.17578125 0.4091796875`
			`14 0.7607421875 0.6982421875 0.1103515625 0.21484375`
			`14 0.919921875 0.712890625 0.15625 0.2666015625`
			`8 0.9169921875 0.9111328125 0.162109375 0.1708984375`
			`8 0.6767578125 0.8720703125 0.1064453125 0.2421875`
			`14 0.5244140625 0.7373046875 0.1240234375 0.5185546875`
			`14 0.4580078125 0.607421875 0.0556640625 0.205078125`