Yolo-12-everything/datasets/valid/labels/2008_006611_jpg.rf.5a1b803baeda3b0c651acf3e430bf7b1.txt

8 0.9169921875 0.7744140625 0.162109375 0.4462890625
8 0.15625 0.763671875 0.3115234375 0.466796875
8 0.5107421875 0.7666015625 0.3583984375 0.4609375
8 0.5087890625 0.775390625 0.2060546875 0.1572265625
10 0.501953125 0.81640625 0.6484375 0.361328125
14 0.2041015625 0.65625 0.408203125 0.6826171875
14 0.8330078125 0.6357421875 0.318359375 0.72265625
15 0.4296875 0.7666015625 0.0517578125 0.08203125
15 0.13671875 0.33203125 0.177734375 0.1572265625
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			`8 0.9169921875 0.7744140625 0.162109375 0.4462890625`
			`8 0.15625 0.763671875 0.3115234375 0.466796875`
			`8 0.5107421875 0.7666015625 0.3583984375 0.4609375`
			`8 0.5087890625 0.775390625 0.2060546875 0.1572265625`
			`10 0.501953125 0.81640625 0.6484375 0.361328125`
			`14 0.2041015625 0.65625 0.408203125 0.6826171875`
			`14 0.8330078125 0.6357421875 0.318359375 0.72265625`
			`15 0.4296875 0.7666015625 0.0517578125 0.08203125`
			`15 0.13671875 0.33203125 0.177734375 0.1572265625`