Yolo-12-everything/datasets/train/labels/2009_004032_jpg.rf.e406d5202cede51265e95ff89f280a5e.txt

10 0.484375 0.7890625 0.8642578125 0.416015625
14 0.83984375 0.5615234375 0.31640625 0.8564453125
14 0.1201171875 0.533203125 0.2119140625 0.5810546875
14 0.5546875 0.4208984375 0.25 0.39453125
15 0.5751953125 0.041015625 0.0458984375 0.0771484375
15 0.34765625 0.0400390625 0.0595703125 0.080078125
8 0.2197265625 0.298828125 0.080078125 0.1708984375
8 0.2568359375 0.3056640625 0.0263671875 0.1787109375
14 0.08984375 0.1962890625 0.091796875 0.0986328125
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 0.484375 0.7890625 0.8642578125 0.416015625`
			`14 0.83984375 0.5615234375 0.31640625 0.8564453125`
			`14 0.1201171875 0.533203125 0.2119140625 0.5810546875`
			`14 0.5546875 0.4208984375 0.25 0.39453125`
			`15 0.5751953125 0.041015625 0.0458984375 0.0771484375`
			`15 0.34765625 0.0400390625 0.0595703125 0.080078125`
			`8 0.2197265625 0.298828125 0.080078125 0.1708984375`
			`8 0.2568359375 0.3056640625 0.0263671875 0.1787109375`
			`14 0.08984375 0.1962890625 0.091796875 0.0986328125`