Yolo-12-everything/datasets/train/labels/2008_006295_jpg.rf.9fb8b8ffd5bcfd776a9d90a8f2d5568d.txt

19 0.482421875 0.3046875 0.380859375 0.466796875
4 0.65234375 0.8017578125 0.107421875 0.375
14 0.28515625 0.7021484375 0.375 0.400390625
14 0.6689453125 0.6640625 0.46875 0.669921875
14 0.7080078125 0.6357421875 0.439453125 0.71875
14 0.9326171875 0.80078125 0.134765625 0.33984375
15 0.9130859375 0.3525390625 0.173828125 0.705078125
15 0.072265625 0.5224609375 0.13671875 0.44140625
15 0.1591796875 0.3505859375 0.267578125 0.66796875
10 0.3779296875 0.8876953125 0.712890625 0.224609375
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 0.482421875 0.3046875 0.380859375 0.466796875`
			`4 0.65234375 0.8017578125 0.107421875 0.375`
			`14 0.28515625 0.7021484375 0.375 0.400390625`
			`14 0.6689453125 0.6640625 0.46875 0.669921875`
			`14 0.7080078125 0.6357421875 0.439453125 0.71875`
			`14 0.9326171875 0.80078125 0.134765625 0.33984375`
			`15 0.9130859375 0.3525390625 0.173828125 0.705078125`
			`15 0.072265625 0.5224609375 0.13671875 0.44140625`
			`15 0.1591796875 0.3505859375 0.267578125 0.66796875`
			`10 0.3779296875 0.8876953125 0.712890625 0.224609375`