Yolo-12-everything/datasets/train/labels/2008_001563_jpg.rf.2db9405a157d621adc11e19716c63e87.txt

14 0.7353515625 0.576171875 0.5263671875 0.8427734375
14 0.4248046875 0.59375 0.6064453125 0.8076171875
14 0.3505859375 0.259765625 0.3583984375 0.51953125
14 0.7919921875 0.353515625 0.3837890625 0.70703125
8 0.8515625 0.5625 0.2919921875 0.490234375
8 0.0771484375 0.6689453125 0.154296875 0.65625
8 0.10546875 0.3134765625 0.2099609375 0.4560546875
8 0.14453125 0.400390625 0.1416015625 0.2666015625
8 0.150390625 0.748046875 0.15625 0.4990234375
8 0.6171875 0.7080078125 0.4619140625 0.5791015625
8 0.95703125 0.419921875 0.08203125 0.291015625
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 0.7353515625 0.576171875 0.5263671875 0.8427734375`
			`14 0.4248046875 0.59375 0.6064453125 0.8076171875`
			`14 0.3505859375 0.259765625 0.3583984375 0.51953125`
			`14 0.7919921875 0.353515625 0.3837890625 0.70703125`
			`8 0.8515625 0.5625 0.2919921875 0.490234375`
			`8 0.0771484375 0.6689453125 0.154296875 0.65625`
			`8 0.10546875 0.3134765625 0.2099609375 0.4560546875`
			`8 0.14453125 0.400390625 0.1416015625 0.2666015625`
			`8 0.150390625 0.748046875 0.15625 0.4990234375`
			`8 0.6171875 0.7080078125 0.4619140625 0.5791015625`
			`8 0.95703125 0.419921875 0.08203125 0.291015625`