Yolo-12-everything/datasets/train/labels/2008_000880_jpg.rf.f08f6ed300c8d626158c11be846f6920.txt

6 0.15625 0.4130859375 0.3115234375 0.1953125
12 0.462890625 0.6728515625 0.3935546875 0.5947265625
14 0.51171875 0.474609375 0.1484375 0.5283203125
6 0.7451171875 0.345703125 0.08203125 0.0478515625
12 0.74609375 0.501953125 0.1162109375 0.2822265625
14 0.80078125 0.384765625 0.0380859375 0.083984375
14 0.8310546875 0.3681640625 0.0419921875 0.111328125
12 0.8837890625 0.5830078125 0.2275390625 0.3662109375
14 0.8251953125 0.5986328125 0.08984375 0.3876953125
14 0.935546875 0.4853515625 0.1240234375 0.3388671875
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			`6 0.15625 0.4130859375 0.3115234375 0.1953125`
			`12 0.462890625 0.6728515625 0.3935546875 0.5947265625`
			`14 0.51171875 0.474609375 0.1484375 0.5283203125`
			`6 0.7451171875 0.345703125 0.08203125 0.0478515625`
			`12 0.74609375 0.501953125 0.1162109375 0.2822265625`
			`14 0.80078125 0.384765625 0.0380859375 0.083984375`
			`14 0.8310546875 0.3681640625 0.0419921875 0.111328125`
			`12 0.8837890625 0.5830078125 0.2275390625 0.3662109375`
			`14 0.8251953125 0.5986328125 0.08984375 0.3876953125`
			`14 0.935546875 0.4853515625 0.1240234375 0.3388671875`