Yolo-12-everything/datasets/train/labels/2008_008388_jpg.rf.23087ee24e07186adeb681d8fcbf90ca.txt

10 0.4482421875 0.81640625 0.896484375 0.3623046875
14 0.6357421875 0.5302734375 0.259765625 0.3310546875
14 0.83984375 0.6884765625 0.31640625 0.619140625
14 0.7568359375 0.3095703125 0.2216796875 0.431640625
14 0.0810546875 0.4052734375 0.1416015625 0.5654296875
14 0.404296875 0.767578125 0.51953125 0.458984375
8 0.23046875 0.8798828125 0.2236328125 0.234375
8 0.7548828125 0.587890625 0.162109375 0.2373046875
14 0.3916015625 0.33984375 0.16015625 0.4990234375
14 0.05078125 0.7529296875 0.1015625 0.48828125
4 0.72265625 0.6318359375 0.0419921875 0.16015625
14 0.0673828125 0.419921875 0.1337890625 0.5791015625
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 0.4482421875 0.81640625 0.896484375 0.3623046875`
			`14 0.6357421875 0.5302734375 0.259765625 0.3310546875`
			`14 0.83984375 0.6884765625 0.31640625 0.619140625`
			`14 0.7568359375 0.3095703125 0.2216796875 0.431640625`
			`14 0.0810546875 0.4052734375 0.1416015625 0.5654296875`
			`14 0.404296875 0.767578125 0.51953125 0.458984375`
			`8 0.23046875 0.8798828125 0.2236328125 0.234375`
			`8 0.7548828125 0.587890625 0.162109375 0.2373046875`
			`14 0.3916015625 0.33984375 0.16015625 0.4990234375`
			`14 0.05078125 0.7529296875 0.1015625 0.48828125`
			`4 0.72265625 0.6318359375 0.0419921875 0.16015625`
			`14 0.0673828125 0.419921875 0.1337890625 0.5791015625`