Yolo-12-everything/datasets/train/labels/2009_002669_jpg.rf.682ec80a58f7532a214bed844191e065.txt

18 0.2470703125 0.365234375 0.494140625 0.234375
18 0.5068359375 0.376953125 0.2255859375 0.2373046875
15 0.0869140625 0.2919921875 0.06640625 0.1416015625
18 0.78515625 0.3369140625 0.42578125 0.1142578125
15 0.953125 0.294921875 0.0341796875 0.072265625
14 0.2041015625 0.419921875 0.0556640625 0.18359375
14 0.1337890625 0.400390625 0.0361328125 0.1123046875
14 0.9150390625 0.373046875 0.0458984375 0.1279296875
14 0.7861328125 0.3466796875 0.0244140625 0.0693359375
14 0.8427734375 0.34375 0.0224609375 0.07421875
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			`18 0.2470703125 0.365234375 0.494140625 0.234375`
			`18 0.5068359375 0.376953125 0.2255859375 0.2373046875`
			`15 0.0869140625 0.2919921875 0.06640625 0.1416015625`
			`18 0.78515625 0.3369140625 0.42578125 0.1142578125`
			`15 0.953125 0.294921875 0.0341796875 0.072265625`
			`14 0.2041015625 0.419921875 0.0556640625 0.18359375`
			`14 0.1337890625 0.400390625 0.0361328125 0.1123046875`
			`14 0.9150390625 0.373046875 0.0458984375 0.1279296875`
			`14 0.7861328125 0.3466796875 0.0244140625 0.0693359375`
			`14 0.8427734375 0.34375 0.0224609375 0.07421875`