Yolo-12-everything/datasets/valid/labels/2010_003983_jpg.rf.e67263bb469bffc26fda2175d1fb9df8.txt

0 0.4716796875 0.5126953125 0.943359375 0.966796875
0 0.91015625 0.4111328125 0.17578125 0.255859375
14 0.318359375 0.71484375 0.15234375 0.5654296875
14 0.564453125 0.6611328125 0.18359375 0.671875
14 0.7578125 0.671875 0.16015625 0.234375
14 0.958984375 0.544921875 0.078125 0.109375
14 0.8896484375 0.62109375 0.091796875 0.1337890625
14 0.8271484375 0.603515625 0.0615234375 0.130859375
14 0.8056640625 0.59375 0.0322265625 0.0986328125
14 0.853515625 0.6669921875 0.099609375 0.16015625
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 0.4716796875 0.5126953125 0.943359375 0.966796875`
			`0 0.91015625 0.4111328125 0.17578125 0.255859375`
			`14 0.318359375 0.71484375 0.15234375 0.5654296875`
			`14 0.564453125 0.6611328125 0.18359375 0.671875`
			`14 0.7578125 0.671875 0.16015625 0.234375`
			`14 0.958984375 0.544921875 0.078125 0.109375`
			`14 0.8896484375 0.62109375 0.091796875 0.1337890625`
			`14 0.8271484375 0.603515625 0.0615234375 0.130859375`
			`14 0.8056640625 0.59375 0.0322265625 0.0986328125`
			`14 0.853515625 0.6669921875 0.099609375 0.16015625`