Yolo-12-everything/datasets/valid/labels/2009_003646_jpg.rf.35c5faebed2103398fca35b00b4f6627.txt

19 0.419921875 0.544921875 0.408203125 0.4609375
19 0.123046875 0.4892578125 0.181640625 0.2421875
17 0.4189453125 0.8681640625 0.662109375 0.2587890625
14 0.7197265625 0.5576171875 0.2802734375 0.8798828125
17 0.1025390625 0.794921875 0.205078125 0.40234375
14 0.8173828125 0.373046875 0.361328125 0.74609375
1 0.6298828125 0.7412109375 0.16796875 0.314453125
1 0.8330078125 0.9462890625 0.330078125 0.1015625
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			`19 0.419921875 0.544921875 0.408203125 0.4609375`
			`19 0.123046875 0.4892578125 0.181640625 0.2421875`
			`17 0.4189453125 0.8681640625 0.662109375 0.2587890625`
			`14 0.7197265625 0.5576171875 0.2802734375 0.8798828125`
			`17 0.1025390625 0.794921875 0.205078125 0.40234375`
			`14 0.8173828125 0.373046875 0.361328125 0.74609375`
			`1 0.6298828125 0.7412109375 0.16796875 0.314453125`
			`1 0.8330078125 0.9462890625 0.330078125 0.1015625`