Yolo-12-everything/datasets/valid/labels/2011_002142_jpg.rf.b351614f90ff6b28a9df40f965b2df25.txt

10 0.43359375 0.7490234375 0.603515625 0.4697265625
14 0.8388671875 0.7509765625 0.318359375 0.4931640625
14 0.21484375 0.71484375 0.330078125 0.5654296875
14 0.107421875 0.5810546875 0.158203125 0.4482421875
14 0.2861328125 0.4638671875 0.099609375 0.203125
14 0.4169921875 0.4130859375 0.177734375 0.234375
14 0.58203125 0.4404296875 0.15625 0.212890625
14 0.8037109375 0.4443359375 0.1484375 0.189453125
14 0.6962890625 0.6689453125 0.3115234375 0.5595703125
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 0.43359375 0.7490234375 0.603515625 0.4697265625`
			`14 0.8388671875 0.7509765625 0.318359375 0.4931640625`
			`14 0.21484375 0.71484375 0.330078125 0.5654296875`
			`14 0.107421875 0.5810546875 0.158203125 0.4482421875`
			`14 0.2861328125 0.4638671875 0.099609375 0.203125`
			`14 0.4169921875 0.4130859375 0.177734375 0.234375`
			`14 0.58203125 0.4404296875 0.15625 0.212890625`
			`14 0.8037109375 0.4443359375 0.1484375 0.189453125`
			`14 0.6962890625 0.6689453125 0.3115234375 0.5595703125`