Yolo-12-everything/datasets/train/labels/2010_005758_jpg.rf.3f781ed4761d60419c112053590c7638.txt

14 0.416015625 0.3544921875 0.15234375 0.232421875
14 0.33984375 0.4697265625 0.1923828125 0.4033203125
14 0.63671875 0.484375 0.1982421875 0.4228515625
14 0.6484375 0.720703125 0.599609375 0.5537109375
14 0.1484375 0.6982421875 0.2958984375 0.5986328125
14 0.4365234375 0.6982421875 0.3896484375 0.5986328125
15 0.71875 0.4443359375 0.1142578125 0.181640625
8 0.95703125 0.6591796875 0.08203125 0.2109375
8 0.9697265625 0.6376953125 0.0556640625 0.2109375
15 0.89453125 0.275390625 0.1064453125 0.166015625
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			`14 0.416015625 0.3544921875 0.15234375 0.232421875`
			`14 0.33984375 0.4697265625 0.1923828125 0.4033203125`
			`14 0.63671875 0.484375 0.1982421875 0.4228515625`
			`14 0.6484375 0.720703125 0.599609375 0.5537109375`
			`14 0.1484375 0.6982421875 0.2958984375 0.5986328125`
			`14 0.4365234375 0.6982421875 0.3896484375 0.5986328125`
			`15 0.71875 0.4443359375 0.1142578125 0.181640625`
			`8 0.95703125 0.6591796875 0.08203125 0.2109375`
			`8 0.9697265625 0.6376953125 0.0556640625 0.2109375`
			`15 0.89453125 0.275390625 0.1064453125 0.166015625`