Yolo-12-everything/datasets/train/labels/2009_000759_jpg.rf.18fe07df2b4fb6c384aef2a8a2e23f83.txt

14 0.24609375 0.423828125 0.103515625 0.169921875
14 0.3701171875 0.412109375 0.162109375 0.314453125
14 0.3115234375 0.400390625 0.072265625 0.212890625
14 0.4716796875 0.3974609375 0.16015625 0.390625
14 0.521484375 0.3701171875 0.2578125 0.44140625
14 0.6904296875 0.4072265625 0.25390625 0.576171875
14 0.87109375 0.4033203125 0.2578125 0.701171875
14 0.1044921875 0.462890625 0.208984375 0.43359375
14 0.14453125 0.462890625 0.125 0.318359375
14 0.1552734375 0.6015625 0.310546875 0.796875
10 0.55859375 0.7421875 0.8828125 0.515625
4 0.615234375 0.5 0.087890625 0.2109375
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 0.24609375 0.423828125 0.103515625 0.169921875`
			`14 0.3701171875 0.412109375 0.162109375 0.314453125`
			`14 0.3115234375 0.400390625 0.072265625 0.212890625`
			`14 0.4716796875 0.3974609375 0.16015625 0.390625`
			`14 0.521484375 0.3701171875 0.2578125 0.44140625`
			`14 0.6904296875 0.4072265625 0.25390625 0.576171875`
			`14 0.87109375 0.4033203125 0.2578125 0.701171875`
			`14 0.1044921875 0.462890625 0.208984375 0.43359375`
			`14 0.14453125 0.462890625 0.125 0.318359375`
			`14 0.1552734375 0.6015625 0.310546875 0.796875`
			`10 0.55859375 0.7421875 0.8828125 0.515625`
			`4 0.615234375 0.5 0.087890625 0.2109375`