Yolo-12-everything/datasets/train/labels/2008_007134_jpg.rf.100cc154113eba0f75becf811a699ad6.txt

4 0.28515625 0.953125 0.1171875 0.08984375
4 0.4296875 0.9609375 0.0849609375 0.07421875
4 0.580078125 0.962890625 0.087890625 0.0703125
4 0.7490234375 0.818359375 0.1494140625 0.33203125
4 0.291015625 0.5302734375 0.1708984375 0.3642578125
4 0.4404296875 0.529296875 0.1435546875 0.3740234375
4 0.591796875 0.5361328125 0.1435546875 0.3798828125
4 0.7578125 0.533203125 0.1435546875 0.3740234375
4 0.2958984375 0.80078125 0.154296875 0.322265625
4 0.4453125 0.806640625 0.1435546875 0.322265625
4 0.291015625 0.236328125 0.16015625 0.408203125
4 0.4453125 0.236328125 0.1435546875 0.419921875
4 0.5986328125 0.232421875 0.146484375 0.419921875
4 0.76171875 0.2275390625 0.146484375 0.423828125
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			`4 0.28515625 0.953125 0.1171875 0.08984375`
			`4 0.4296875 0.9609375 0.0849609375 0.07421875`
			`4 0.580078125 0.962890625 0.087890625 0.0703125`
			`4 0.7490234375 0.818359375 0.1494140625 0.33203125`
			`4 0.291015625 0.5302734375 0.1708984375 0.3642578125`
			`4 0.4404296875 0.529296875 0.1435546875 0.3740234375`
			`4 0.591796875 0.5361328125 0.1435546875 0.3798828125`
			`4 0.7578125 0.533203125 0.1435546875 0.3740234375`
			`4 0.2958984375 0.80078125 0.154296875 0.322265625`
			`4 0.4453125 0.806640625 0.1435546875 0.322265625`
			`4 0.291015625 0.236328125 0.16015625 0.408203125`
			`4 0.4453125 0.236328125 0.1435546875 0.419921875`
			`4 0.5986328125 0.232421875 0.146484375 0.419921875`
			`4 0.76171875 0.2275390625 0.146484375 0.423828125`