Yolo-12-everything/datasets/train/labels/2009_000546_jpg.rf.d6d072342835fc4fe248cbe1bdd0a6ff.txt

4 0.63671875 0.705078125 0.11328125 0.478515625
4 0.7373046875 0.537109375 0.0546875 0.248046875
14 0.2529296875 0.5908203125 0.505859375 0.818359375
14 0.4130859375 0.5048828125 0.2734375 0.484375
14 0.8505859375 0.5302734375 0.298828125 0.908203125
10 0.642578125 0.8310546875 0.59765625 0.337890625
10 0.7607421875 0.611328125 0.19921875 0.177734375
14 0.5546875 0.4697265625 0.177734375 0.455078125
4 0.6669921875 0.67578125 0.060546875 0.421875
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 0.63671875 0.705078125 0.11328125 0.478515625`
			`4 0.7373046875 0.537109375 0.0546875 0.248046875`
			`14 0.2529296875 0.5908203125 0.505859375 0.818359375`
			`14 0.4130859375 0.5048828125 0.2734375 0.484375`
			`14 0.8505859375 0.5302734375 0.298828125 0.908203125`
			`10 0.642578125 0.8310546875 0.59765625 0.337890625`
			`10 0.7607421875 0.611328125 0.19921875 0.177734375`
			`14 0.5546875 0.4697265625 0.177734375 0.455078125`
			`4 0.6669921875 0.67578125 0.060546875 0.421875`