Yolo-12-everything/datasets/train/labels/2008_006295_jpg.rf.521aed920597074633abefe9d2ccfeae.txt

19 0.49609375 0.3037109375 0.3515625 0.4423828125
4 0.630859375 0.8115234375 0.08203125 0.37109375
14 0.271484375 0.6865234375 0.349609375 0.3759765625
14 0.6572265625 0.67578125 0.42578125 0.642578125
14 0.6982421875 0.650390625 0.3916015625 0.693359375
14 0.92578125 0.83203125 0.1435546875 0.3310546875
15 0.9287109375 0.37890625 0.1376953125 0.7041015625
15 0.0712890625 0.4921875 0.1064453125 0.4345703125
15 0.1708984375 0.3271484375 0.2216796875 0.6533203125
10 0.3505859375 0.8935546875 0.701171875 0.205078125
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			`19 0.49609375 0.3037109375 0.3515625 0.4423828125`
			`4 0.630859375 0.8115234375 0.08203125 0.37109375`
			`14 0.271484375 0.6865234375 0.349609375 0.3759765625`
			`14 0.6572265625 0.67578125 0.42578125 0.642578125`
			`14 0.6982421875 0.650390625 0.3916015625 0.693359375`
			`14 0.92578125 0.83203125 0.1435546875 0.3310546875`
			`15 0.9287109375 0.37890625 0.1376953125 0.7041015625`
			`15 0.0712890625 0.4921875 0.1064453125 0.4345703125`
			`15 0.1708984375 0.3271484375 0.2216796875 0.6533203125`
			`10 0.3505859375 0.8935546875 0.701171875 0.205078125`