Yolo-12-everything/datasets/train/labels/2010_005620_jpg.rf.7466841faee08f201c91b2bfb48bb6ba.txt

8 0.134765625 0.841796875 0.265625 0.3115234375
13 0.79296875 0.2265625 0.0537109375 0.1279296875
14 0.2587890625 0.6748046875 0.421875 0.6455078125
14 0.2978515625 0.6435546875 0.2197265625 0.7060546875
14 0.384765625 0.470703125 0.185546875 0.4306640625
14 0.5322265625 0.4560546875 0.1484375 0.4248046875
14 0.8408203125 0.6552734375 0.314453125 0.68359375
14 0.7861328125 0.4287109375 0.1123046875 0.2822265625
14 0.7099609375 0.5498046875 0.16796875 0.458984375
14 0.640625 0.50390625 0.169921875 0.392578125
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			`8 0.134765625 0.841796875 0.265625 0.3115234375`
			`13 0.79296875 0.2265625 0.0537109375 0.1279296875`
			`14 0.2587890625 0.6748046875 0.421875 0.6455078125`
			`14 0.2978515625 0.6435546875 0.2197265625 0.7060546875`
			`14 0.384765625 0.470703125 0.185546875 0.4306640625`
			`14 0.5322265625 0.4560546875 0.1484375 0.4248046875`
			`14 0.8408203125 0.6552734375 0.314453125 0.68359375`
			`14 0.7861328125 0.4287109375 0.1123046875 0.2822265625`
			`14 0.7099609375 0.5498046875 0.16796875 0.458984375`
			`14 0.640625 0.50390625 0.169921875 0.392578125`