Yolo-12-everything/datasets/valid/labels/2008_008440_jpg.rf.20db0c1c26ad6e6be51f55c4730c025b.txt

14 0.0361328125 0.2197265625 0.072265625 0.1357421875
14 0.384765625 0.306640625 0.169921875 0.51171875
14 0.140625 0.681640625 0.1943359375 0.6318359375
14 0.287109375 0.4462890625 0.166015625 0.2958984375
14 0.4775390625 0.427734375 0.171875 0.2587890625
14 0.6904296875 0.44140625 0.236328125 0.306640625
10 0.4677734375 0.7626953125 0.84765625 0.431640625
4 0.1474609375 0.2919921875 0.013671875 0.0341796875
4 0.1953125 0.2919921875 0.017578125 0.0400390625
4 0.181640625 0.2919921875 0.015625 0.0341796875
4 0.169921875 0.2880859375 0.01171875 0.0322265625
4 0.1591796875 0.287109375 0.009765625 0.029296875
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 0.0361328125 0.2197265625 0.072265625 0.1357421875`
			`14 0.384765625 0.306640625 0.169921875 0.51171875`
			`14 0.140625 0.681640625 0.1943359375 0.6318359375`
			`14 0.287109375 0.4462890625 0.166015625 0.2958984375`
			`14 0.4775390625 0.427734375 0.171875 0.2587890625`
			`14 0.6904296875 0.44140625 0.236328125 0.306640625`
			`10 0.4677734375 0.7626953125 0.84765625 0.431640625`
			`4 0.1474609375 0.2919921875 0.013671875 0.0341796875`
			`4 0.1953125 0.2919921875 0.017578125 0.0400390625`
			`4 0.181640625 0.2919921875 0.015625 0.0341796875`
			`4 0.169921875 0.2880859375 0.01171875 0.0322265625`
			`4 0.1591796875 0.287109375 0.009765625 0.029296875`