Yolo-12-everything/datasets/valid/labels/2009_001181_jpg.rf.689367098755caf6c34597eb85d45a61.txt

4 0.4912109375 0.9365234375 0.0341796875 0.1201171875
14 0.73828125 0.572265625 0.244140625 0.6396484375
14 0.646484375 0.6572265625 0.17578125 0.6728515625
1 0.9130859375 0.8271484375 0.169921875 0.3095703125
14 0.0439453125 0.6982421875 0.087890625 0.59765625
14 0.12890625 0.67578125 0.181640625 0.642578125
14 0.259765625 0.65625 0.1884765625 0.681640625
14 0.341796875 0.4638671875 0.0361328125 0.1171875
14 0.373046875 0.6904296875 0.2138671875 0.6123046875
14 0.5810546875 0.896484375 0.169921875 0.201171875
14 0.767578125 0.8720703125 0.2080078125 0.2490234375
14 0.90625 0.9072265625 0.17578125 0.1806640625
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 0.4912109375 0.9365234375 0.0341796875 0.1201171875`
			`14 0.73828125 0.572265625 0.244140625 0.6396484375`
			`14 0.646484375 0.6572265625 0.17578125 0.6728515625`
			`1 0.9130859375 0.8271484375 0.169921875 0.3095703125`
			`14 0.0439453125 0.6982421875 0.087890625 0.59765625`
			`14 0.12890625 0.67578125 0.181640625 0.642578125`
			`14 0.259765625 0.65625 0.1884765625 0.681640625`
			`14 0.341796875 0.4638671875 0.0361328125 0.1171875`
			`14 0.373046875 0.6904296875 0.2138671875 0.6123046875`
			`14 0.5810546875 0.896484375 0.169921875 0.201171875`
			`14 0.767578125 0.8720703125 0.2080078125 0.2490234375`
			`14 0.90625 0.9072265625 0.17578125 0.1806640625`