Yolo-12-everything/datasets/train/labels/2010_001785_jpg.rf.ea7c5adae789c43f0459c835f1c6aaf8.txt

10 0.501953125 0.73828125 0.751953125 0.517578125
4 0.654296875 0.4453125 0.0556640625 0.1923828125
4 0.5400390625 0.5888671875 0.091796875 0.203125
4 0.478515625 0.6083984375 0.0498046875 0.1171875
14 0.8984375 0.642578125 0.2001953125 0.708984375
14 0.181640625 0.638671875 0.36328125 0.71484375
14 0.2470703125 0.37890625 0.3623046875 0.4482421875
4 0.1044921875 0.041015625 0.029296875 0.08203125
4 0.076171875 0.041015625 0.03125 0.08203125
4 0.037109375 0.0439453125 0.0419921875 0.087890625
15 0.6748046875 0.4462890625 0.150390625 0.189453125
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			`10 0.501953125 0.73828125 0.751953125 0.517578125`
			`4 0.654296875 0.4453125 0.0556640625 0.1923828125`
			`4 0.5400390625 0.5888671875 0.091796875 0.203125`
			`4 0.478515625 0.6083984375 0.0498046875 0.1171875`
			`14 0.8984375 0.642578125 0.2001953125 0.708984375`
			`14 0.181640625 0.638671875 0.36328125 0.71484375`
			`14 0.2470703125 0.37890625 0.3623046875 0.4482421875`
			`4 0.1044921875 0.041015625 0.029296875 0.08203125`
			`4 0.076171875 0.041015625 0.03125 0.08203125`
			`4 0.037109375 0.0439453125 0.0419921875 0.087890625`
			`15 0.6748046875 0.4462890625 0.150390625 0.189453125`