Yolo-12-everything/datasets/train/labels/2008_008053_jpg.rf.a027e764c43a9eb3cc5f95b2b2b19a6c.txt

0 0.1484375 0.58984375 0.0556640625 0.056640625
0 0.2646484375 0.630859375 0.0498046875 0.0419921875
0 0.365234375 0.576171875 0.0576171875 0.0419921875
0 0.3837890625 0.6591796875 0.0478515625 0.033203125
0 0.50390625 0.63671875 0.0517578125 0.0361328125
0 0.5078125 0.6806640625 0.0361328125 0.033203125
0 0.638671875 0.623046875 0.0419921875 0.0390625
0 0.6494140625 0.5419921875 0.0537109375 0.044921875
0 0.7333984375 0.564453125 0.0498046875 0.0419921875
0 0.8369140625 0.521484375 0.0537109375 0.05078125
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			`0 0.1484375 0.58984375 0.0556640625 0.056640625`
			`0 0.2646484375 0.630859375 0.0498046875 0.0419921875`
			`0 0.365234375 0.576171875 0.0576171875 0.0419921875`
			`0 0.3837890625 0.6591796875 0.0478515625 0.033203125`
			`0 0.50390625 0.63671875 0.0517578125 0.0361328125`
			`0 0.5078125 0.6806640625 0.0361328125 0.033203125`
			`0 0.638671875 0.623046875 0.0419921875 0.0390625`
			`0 0.6494140625 0.5419921875 0.0537109375 0.044921875`
			`0 0.7333984375 0.564453125 0.0498046875 0.0419921875`
			`0 0.8369140625 0.521484375 0.0537109375 0.05078125`