Yolo-12-everything/datasets/valid/labels/2008_006039_jpg.rf.83678f8945e2f45c05312558dd0009ee.txt

10 0.3837890625 0.689453125 0.767578125 0.6162109375
14 0.1162109375 0.583984375 0.232421875 0.4423828125
14 0.2001953125 0.4208984375 0.2158203125 0.4423828125
14 0.3095703125 0.4169921875 0.15625 0.4296875
14 0.400390625 0.3427734375 0.1123046875 0.3017578125
14 0.5693359375 0.28125 0.169921875 0.232421875
14 0.73828125 0.353515625 0.1240234375 0.34375
14 0.833984375 0.4892578125 0.1484375 0.5361328125
14 0.8984375 0.67578125 0.2001953125 0.642578125
14 0.6376953125 0.6572265625 0.423828125 0.6796875
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			`10 0.3837890625 0.689453125 0.767578125 0.6162109375`
			`14 0.1162109375 0.583984375 0.232421875 0.4423828125`
			`14 0.2001953125 0.4208984375 0.2158203125 0.4423828125`
			`14 0.3095703125 0.4169921875 0.15625 0.4296875`
			`14 0.400390625 0.3427734375 0.1123046875 0.3017578125`
			`14 0.5693359375 0.28125 0.169921875 0.232421875`
			`14 0.73828125 0.353515625 0.1240234375 0.34375`
			`14 0.833984375 0.4892578125 0.1484375 0.5361328125`
			`14 0.8984375 0.67578125 0.2001953125 0.642578125`
			`14 0.6376953125 0.6572265625 0.423828125 0.6796875`