Yolo-12-everything/datasets/train/labels/2008_008757_jpg.rf.d4b5cf82ea38bbeef649c7826ce8f6f3.txt

18 0.7802734375 0.4990234375 0.435546875 0.9970703125
14 0.5439453125 0.3359375 0.0283203125 0.1123046875
14 0.470703125 0.298828125 0.017578125 0.037109375
14 0.435546875 0.3359375 0.0283203125 0.1064453125
14 0.341796875 0.3095703125 0.01953125 0.0478515625
14 0.3623046875 0.318359375 0.01953125 0.0400390625
14 0.3076171875 0.341796875 0.0361328125 0.0693359375
14 0.2978515625 0.4208984375 0.0400390625 0.27734375
14 0.322265625 0.3974609375 0.0556640625 0.181640625
14 0.39453125 0.44140625 0.1064453125 0.328125
14 0.5009765625 0.3984375 0.08984375 0.2744140625
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			`18 0.7802734375 0.4990234375 0.435546875 0.9970703125`
			`14 0.5439453125 0.3359375 0.0283203125 0.1123046875`
			`14 0.470703125 0.298828125 0.017578125 0.037109375`
			`14 0.435546875 0.3359375 0.0283203125 0.1064453125`
			`14 0.341796875 0.3095703125 0.01953125 0.0478515625`
			`14 0.3623046875 0.318359375 0.01953125 0.0400390625`
			`14 0.3076171875 0.341796875 0.0361328125 0.0693359375`
			`14 0.2978515625 0.4208984375 0.0400390625 0.27734375`
			`14 0.322265625 0.3974609375 0.0556640625 0.181640625`
			`14 0.39453125 0.44140625 0.1064453125 0.328125`
			`14 0.5009765625 0.3984375 0.08984375 0.2744140625`