Yolo-12-everything/datasets/valid/labels/2008_004832_jpg.rf.10cd3c954c379fbce5602644ef637773.txt

13 0.4970703125 0.5693359375 0.5126953125 0.72265625
13 0.8623046875 0.369140625 0.2685546875 0.2431640625
13 0.197265625 0.4375 0.3701171875 0.2177734375
6 0.3662109375 0.20703125 0.7314453125 0.2197265625
14 0.484375 0.4619140625 0.494140625 0.5810546875
14 0.970703125 0.3525390625 0.052734375 0.548828125
14 0.220703125 0.314453125 0.318359375 0.32421875
14 0.5634765625 0.1494140625 0.126953125 0.1787109375
14 0.05859375 0.13671875 0.068359375 0.0458984375
14 0.1494140625 0.138671875 0.052734375 0.0322265625
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			`13 0.4970703125 0.5693359375 0.5126953125 0.72265625`
			`13 0.8623046875 0.369140625 0.2685546875 0.2431640625`
			`13 0.197265625 0.4375 0.3701171875 0.2177734375`
			`6 0.3662109375 0.20703125 0.7314453125 0.2197265625`
			`14 0.484375 0.4619140625 0.494140625 0.5810546875`
			`14 0.970703125 0.3525390625 0.052734375 0.548828125`
			`14 0.220703125 0.314453125 0.318359375 0.32421875`
			`14 0.5634765625 0.1494140625 0.126953125 0.1787109375`
			`14 0.05859375 0.13671875 0.068359375 0.0458984375`
			`14 0.1494140625 0.138671875 0.052734375 0.0322265625`