Yolo-12-everything/datasets/train/labels/2010_003017_jpg.rf.6d24008e50b4349222b3f9192db05e73.txt

4 0.40625 0.55078125 0.216796875 0.595703125
4 0.83984375 0.7568359375 0.234375 0.486328125
14 0.236328125 0.671875 0.47265625 0.64453125
14 0.5498046875 0.6796875 0.462890625 0.640625
14 0.9462890625 0.7919921875 0.099609375 0.416015625
8 0.6923828125 0.6904296875 0.099609375 0.17578125
15 0.2685546875 0.53515625 0.060546875 0.271484375
15 0.189453125 0.5654296875 0.111328125 0.244140625
15 0.103515625 0.58203125 0.05078125 0.07421875
15 0.0126953125 0.5830078125 0.025390625 0.087890625
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			`4 0.40625 0.55078125 0.216796875 0.595703125`
			`4 0.83984375 0.7568359375 0.234375 0.486328125`
			`14 0.236328125 0.671875 0.47265625 0.64453125`
			`14 0.5498046875 0.6796875 0.462890625 0.640625`
			`14 0.9462890625 0.7919921875 0.099609375 0.416015625`
			`8 0.6923828125 0.6904296875 0.099609375 0.17578125`
			`15 0.2685546875 0.53515625 0.060546875 0.271484375`
			`15 0.189453125 0.5654296875 0.111328125 0.244140625`
			`15 0.103515625 0.58203125 0.05078125 0.07421875`
			`15 0.0126953125 0.5830078125 0.025390625 0.087890625`