Yolo-12-everything/datasets/train/labels/2010_004778_jpg.rf.9cd8bf1ee93f0281fe915d1bb11bbea4.txt

4 0.4873046875 0.5107421875 0.0302734375 0.146484375
14 0.9443359375 0.2822265625 0.1083984375 0.234375
8 0.15234375 0.794921875 0.3037109375 0.4052734375
8 0.81640625 0.87890625 0.3642578125 0.2373046875
14 0.3154296875 0.5888671875 0.2822265625 0.7197265625
14 0.5859375 0.3505859375 0.251953125 0.322265625
14 0.712890625 0.431640625 0.265625 0.431640625
14 0.763671875 0.5986328125 0.4677734375 0.796875
14 0.2109375 0.6142578125 0.421875 0.765625
10 0.5341796875 0.71875 0.48046875 0.5576171875
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			`4 0.4873046875 0.5107421875 0.0302734375 0.146484375`
			`14 0.9443359375 0.2822265625 0.1083984375 0.234375`
			`8 0.15234375 0.794921875 0.3037109375 0.4052734375`
			`8 0.81640625 0.87890625 0.3642578125 0.2373046875`
			`14 0.3154296875 0.5888671875 0.2822265625 0.7197265625`
			`14 0.5859375 0.3505859375 0.251953125 0.322265625`
			`14 0.712890625 0.431640625 0.265625 0.431640625`
			`14 0.763671875 0.5986328125 0.4677734375 0.796875`
			`14 0.2109375 0.6142578125 0.421875 0.765625`
			`10 0.5341796875 0.71875 0.48046875 0.5576171875`