Yolo-12-everything/datasets/train/labels/2010_000797_jpg.rf.00dcedf3680ee36eaec2981d228c36a4.txt

5 0.8720703125 0.546875 0.251953125 0.138671875
5 0.3056640625 0.5341796875 0.3837890625 0.1728515625
14 0.8251953125 0.7490234375 0.1181640625 0.1923828125
14 0.0859375 0.6025390625 0.0400390625 0.197265625
14 0.73828125 0.630859375 0.0400390625 0.0615234375
14 0.3623046875 0.6435546875 0.0322265625 0.087890625
14 0.318359375 0.638671875 0.0400390625 0.087890625
14 0.908203125 0.583984375 0.0361328125 0.0908203125
14 0.982421875 0.5830078125 0.0322265625 0.0830078125
14 0.9482421875 0.57421875 0.0322265625 0.09375
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			`5 0.8720703125 0.546875 0.251953125 0.138671875`
			`5 0.3056640625 0.5341796875 0.3837890625 0.1728515625`
			`14 0.8251953125 0.7490234375 0.1181640625 0.1923828125`
			`14 0.0859375 0.6025390625 0.0400390625 0.197265625`
			`14 0.73828125 0.630859375 0.0400390625 0.0615234375`
			`14 0.3623046875 0.6435546875 0.0322265625 0.087890625`
			`14 0.318359375 0.638671875 0.0400390625 0.087890625`
			`14 0.908203125 0.583984375 0.0361328125 0.0908203125`
			`14 0.982421875 0.5830078125 0.0322265625 0.0830078125`
			`14 0.9482421875 0.57421875 0.0322265625 0.09375`