Yolo-12-everything/datasets/train/labels/2009_003710_jpg.rf.c3d2000f45151606414a8db18f42b87d.txt

5 0.4345703125 0.462890625 0.6181640625 0.72265625
14 0.470703125 0.55078125 0.06640625 0.109375
14 0.6201171875 0.5625 0.0400390625 0.1064453125
14 0.763671875 0.6689453125 0.0400390625 0.2666015625
14 0.8076171875 0.6884765625 0.0517578125 0.2666015625
14 0.857421875 0.6962890625 0.0615234375 0.2724609375
14 0.91796875 0.67578125 0.0478515625 0.291015625
14 0.9609375 0.6103515625 0.0615234375 0.1064453125
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			`5 0.4345703125 0.462890625 0.6181640625 0.72265625`
			`14 0.470703125 0.55078125 0.06640625 0.109375`
			`14 0.6201171875 0.5625 0.0400390625 0.1064453125`
			`14 0.763671875 0.6689453125 0.0400390625 0.2666015625`
			`14 0.8076171875 0.6884765625 0.0517578125 0.2666015625`
			`14 0.857421875 0.6962890625 0.0615234375 0.2724609375`
			`14 0.91796875 0.67578125 0.0478515625 0.291015625`
			`14 0.9609375 0.6103515625 0.0615234375 0.1064453125`