Yolo-12-everything/datasets/train/labels/2008_001811_jpg.rf.343c8b4a439915b7b1718b09e1eb236a.txt

14 0.4033203125 0.5302734375 0.28125 0.759765625
14 0.5849609375 0.595703125 0.19140625 0.630859375
14 0.7119140625 0.6396484375 0.16796875 0.548828125
14 0.8525390625 0.78515625 0.154296875 0.4296875
14 0.107421875 0.748046875 0.056640625 0.134765625
14 0.173828125 0.78125 0.068359375 0.1796875
14 0.0576171875 0.744140625 0.048828125 0.1171875
14 0.28125 0.5126953125 0.201171875 0.759765625
14 0.9169921875 0.8603515625 0.060546875 0.220703125
14 0.9609375 0.857421875 0.044921875 0.232421875
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 0.4033203125 0.5302734375 0.28125 0.759765625`
			`14 0.5849609375 0.595703125 0.19140625 0.630859375`
			`14 0.7119140625 0.6396484375 0.16796875 0.548828125`
			`14 0.8525390625 0.78515625 0.154296875 0.4296875`
			`14 0.107421875 0.748046875 0.056640625 0.134765625`
			`14 0.173828125 0.78125 0.068359375 0.1796875`
			`14 0.0576171875 0.744140625 0.048828125 0.1171875`
			`14 0.28125 0.5126953125 0.201171875 0.759765625`
			`14 0.9169921875 0.8603515625 0.060546875 0.220703125`
			`14 0.9609375 0.857421875 0.044921875 0.232421875`