Yolo-12-everything/datasets/train/labels/2009_000164_jpg.rf.42052e83e03c8401cc322978a654764d.txt

14 0.4931640625 0.7001953125 0.271484375 0.53125
14 0.5107421875 0.6123046875 0.474609375 0.775390625
8 0.31640625 0.7724609375 0.46875 0.455078125
10 0.890625 0.4287109375 0.21875 0.349609375
8 0.8388671875 0.3740234375 0.12890625 0.31640625
8 0.9560546875 0.443359375 0.087890625 0.24609375
8 0.9912109375 0.2451171875 0.017578125 0.060546875
8 0.822265625 0.2216796875 0.0390625 0.060546875
15 0.9130859375 0.2578125 0.06640625 0.1015625
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 0.4931640625 0.7001953125 0.271484375 0.53125`
			`14 0.5107421875 0.6123046875 0.474609375 0.775390625`
			`8 0.31640625 0.7724609375 0.46875 0.455078125`
			`10 0.890625 0.4287109375 0.21875 0.349609375`
			`8 0.8388671875 0.3740234375 0.12890625 0.31640625`
			`8 0.9560546875 0.443359375 0.087890625 0.24609375`
			`8 0.9912109375 0.2451171875 0.017578125 0.060546875`
			`8 0.822265625 0.2216796875 0.0390625 0.060546875`
			`15 0.9130859375 0.2578125 0.06640625 0.1015625`