Yolo-12-everything/datasets/train/labels/2009_002669_jpg.rf.36b5dffd1edb76d18bacf3c260d6dad3.txt

18 0.2490234375 0.361328125 0.498046875 0.2421875
18 0.5087890625 0.376953125 0.23046875 0.240234375
15 0.0908203125 0.28515625 0.068359375 0.142578125
18 0.787109375 0.341796875 0.42578125 0.12109375
15 0.95703125 0.302734375 0.03515625 0.072265625
14 0.205078125 0.4150390625 0.05859375 0.18359375
14 0.1357421875 0.3935546875 0.0390625 0.11328125
14 0.9169921875 0.3798828125 0.048828125 0.12890625
14 0.7890625 0.3515625 0.025390625 0.0703125
14 0.845703125 0.349609375 0.0234375 0.07421875
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			`18 0.2490234375 0.361328125 0.498046875 0.2421875`
			`18 0.5087890625 0.376953125 0.23046875 0.240234375`
			`15 0.0908203125 0.28515625 0.068359375 0.142578125`
			`18 0.787109375 0.341796875 0.42578125 0.12109375`
			`15 0.95703125 0.302734375 0.03515625 0.072265625`
			`14 0.205078125 0.4150390625 0.05859375 0.18359375`
			`14 0.1357421875 0.3935546875 0.0390625 0.11328125`
			`14 0.9169921875 0.3798828125 0.048828125 0.12890625`
			`14 0.7890625 0.3515625 0.025390625 0.0703125`
			`14 0.845703125 0.349609375 0.0234375 0.07421875`