Yolo-12-everything/datasets/train/labels/2008_004866_jpg.rf.d5fc3ce2f83e8c471eaf13a9457ee43a.txt

14 0.775390625 0.43359375 0.078125 0.2421875
14 0.671875 0.6396484375 0.1083984375 0.576171875
14 0.55859375 0.6435546875 0.1015625 0.5947265625
14 0.3916015625 0.6103515625 0.15625 0.5224609375
5 0.2783203125 0.3857421875 0.5244140625 0.73828125
14 0.2265625 0.3720703125 0.146484375 0.1572265625
14 0.814453125 0.412109375 0.0439453125 0.1142578125
14 0.8251953125 0.4130859375 0.0576171875 0.1123046875
14 0.51171875 0.6318359375 0.076171875 0.5283203125
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			`14 0.775390625 0.43359375 0.078125 0.2421875`
			`14 0.671875 0.6396484375 0.1083984375 0.576171875`
			`14 0.55859375 0.6435546875 0.1015625 0.5947265625`
			`14 0.3916015625 0.6103515625 0.15625 0.5224609375`
			`5 0.2783203125 0.3857421875 0.5244140625 0.73828125`
			`14 0.2265625 0.3720703125 0.146484375 0.1572265625`
			`14 0.814453125 0.412109375 0.0439453125 0.1142578125`
			`14 0.8251953125 0.4130859375 0.0576171875 0.1123046875`
			`14 0.51171875 0.6318359375 0.076171875 0.5283203125`