Yolo-12-everything/datasets/train/labels/2009_003338_jpg.rf.6fc383d07a26f75d4b244fbd2eebf4c9.txt

14 0.3291015625 0.72265625 0.1376953125 0.5478515625
14 0.4248046875 0.7275390625 0.181640625 0.5390625
14 0.6396484375 0.6806640625 0.17578125 0.6328125
12 0.2724609375 0.5478515625 0.5439453125 0.8974609375
12 0.73046875 0.6669921875 0.5361328125 0.6591796875
14 0.783203125 0.44921875 0.0419921875 0.0546875
14 0.9248046875 0.4169921875 0.017578125 0.02734375
14 0.9755859375 0.44921875 0.0439453125 0.1201171875
14 0.73046875 0.4296875 0.0361328125 0.044921875
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 0.3291015625 0.72265625 0.1376953125 0.5478515625`
			`14 0.4248046875 0.7275390625 0.181640625 0.5390625`
			`14 0.6396484375 0.6806640625 0.17578125 0.6328125`
			`12 0.2724609375 0.5478515625 0.5439453125 0.8974609375`
			`12 0.73046875 0.6669921875 0.5361328125 0.6591796875`
			`14 0.783203125 0.44921875 0.0419921875 0.0546875`
			`14 0.9248046875 0.4169921875 0.017578125 0.02734375`
			`14 0.9755859375 0.44921875 0.0439453125 0.1201171875`
			`14 0.73046875 0.4296875 0.0361328125 0.044921875`