Yolo-12-everything/datasets/train/labels/2011_000996_jpg.rf.ad500efe911f6d7f15c8e45ed1736fb2.txt

14 0.0908203125 0.435546875 0.181640625 0.1728515625
14 0.125 0.455078125 0.25 0.5302734375
14 0.6220703125 0.677734375 0.751953125 0.6396484375
14 0.92578125 0.6630859375 0.1435546875 0.6318359375
14 0.7236328125 0.3115234375 0.171875 0.2080078125
14 0.505859375 0.361328125 0.2119140625 0.306640625
14 0.6298828125 0.3603515625 0.16796875 0.39453125
4 0.2373046875 0.8212890625 0.0615234375 0.2666015625
4 0.328125 0.849609375 0.064453125 0.1728515625
4 0.498046875 0.587890625 0.0478515625 0.1787109375
4 0.36328125 0.619140625 0.078125 0.3037109375
4 0.4560546875 0.5078125 0.0439453125 0.16796875
10 0.525390625 0.6787109375 0.9462890625 0.6376953125
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 0.0908203125 0.435546875 0.181640625 0.1728515625`
			`14 0.125 0.455078125 0.25 0.5302734375`
			`14 0.6220703125 0.677734375 0.751953125 0.6396484375`
			`14 0.92578125 0.6630859375 0.1435546875 0.6318359375`
			`14 0.7236328125 0.3115234375 0.171875 0.2080078125`
			`14 0.505859375 0.361328125 0.2119140625 0.306640625`
			`14 0.6298828125 0.3603515625 0.16796875 0.39453125`
			`4 0.2373046875 0.8212890625 0.0615234375 0.2666015625`
			`4 0.328125 0.849609375 0.064453125 0.1728515625`
			`4 0.498046875 0.587890625 0.0478515625 0.1787109375`
			`4 0.36328125 0.619140625 0.078125 0.3037109375`
			`4 0.4560546875 0.5078125 0.0439453125 0.16796875`
			`10 0.525390625 0.6787109375 0.9462890625 0.6376953125`