Yolo-12-everything/datasets/train/labels/2011_002842_jpg.rf.80580d58e1dfab2a4df8983ce7d09186.txt

19 0.7041015625 0.283203125 0.087890625 0.1220703125
14 0.283203125 0.6044921875 0.4169921875 0.7861328125
14 0.7685546875 0.6015625 0.2041015625 0.7919921875
14 0.390625 0.5849609375 0.1650390625 0.8251953125
8 0.53125 0.515625 0.12109375 0.197265625
4 0.6005859375 0.423828125 0.0107421875 0.052734375
4 0.5634765625 0.4208984375 0.0146484375 0.046875
4 0.580078125 0.423828125 0.0185546875 0.046875
14 0.703125 0.28515625 0.060546875 0.0693359375
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			`19 0.7041015625 0.283203125 0.087890625 0.1220703125`
			`14 0.283203125 0.6044921875 0.4169921875 0.7861328125`
			`14 0.7685546875 0.6015625 0.2041015625 0.7919921875`
			`14 0.390625 0.5849609375 0.1650390625 0.8251953125`
			`8 0.53125 0.515625 0.12109375 0.197265625`
			`4 0.6005859375 0.423828125 0.0107421875 0.052734375`
			`4 0.5634765625 0.4208984375 0.0146484375 0.046875`
			`4 0.580078125 0.423828125 0.0185546875 0.046875`
			`14 0.703125 0.28515625 0.060546875 0.0693359375`