Yolo-12-everything/datasets/valid/labels/2008_005257_jpg.rf.70857e0f079e638dc814babb8dadb2ab.txt

4 0.787109375 0.44140625 0.0458984375 0.1787109375
8 0.7158203125 0.7841796875 0.3037109375 0.4267578125
8 0.2138671875 0.7412109375 0.2880859375 0.51171875
8 0.4248046875 0.6064453125 0.1982421875 0.4345703125
8 0.4453125 0.365234375 0.08203125 0.0908203125
8 0.68359375 0.365234375 0.083984375 0.064453125
8 0.67578125 0.423828125 0.1435546875 0.0908203125
19 0.546875 0.3935546875 0.1259765625 0.125
10 0.5458984375 0.693359375 0.572265625 0.5068359375
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			`4 0.787109375 0.44140625 0.0458984375 0.1787109375`
			`8 0.7158203125 0.7841796875 0.3037109375 0.4267578125`
			`8 0.2138671875 0.7412109375 0.2880859375 0.51171875`
			`8 0.4248046875 0.6064453125 0.1982421875 0.4345703125`
			`8 0.4453125 0.365234375 0.08203125 0.0908203125`
			`8 0.68359375 0.365234375 0.083984375 0.064453125`
			`8 0.67578125 0.423828125 0.1435546875 0.0908203125`
			`19 0.546875 0.3935546875 0.1259765625 0.125`
			`10 0.5458984375 0.693359375 0.572265625 0.5068359375`