Yolo-12-everything/datasets/train/labels/2011_001571_jpg.rf.b42c535082300a5d3d42398197940164.txt

4 0.490234375 0.875 0.0556640625 0.2373046875
4 0.3935546875 0.68359375 0.068359375 0.21875
4 0.3154296875 0.6845703125 0.1181640625 0.16796875
4 0.13671875 0.9072265625 0.0615234375 0.173828125
4 0.314453125 0.9013671875 0.0439453125 0.1923828125
8 0.8291015625 0.904296875 0.1220703125 0.173828125
8 0.046875 0.791015625 0.09375 0.1767578125
10 0.36328125 0.875 0.7255859375 0.2373046875
14 0.5869140625 0.673828125 0.4423828125 0.6455078125
14 0.2236328125 0.5439453125 0.2919921875 0.546875
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 0.490234375 0.875 0.0556640625 0.2373046875`
			`4 0.3935546875 0.68359375 0.068359375 0.21875`
			`4 0.3154296875 0.6845703125 0.1181640625 0.16796875`
			`4 0.13671875 0.9072265625 0.0615234375 0.173828125`
			`4 0.314453125 0.9013671875 0.0439453125 0.1923828125`
			`8 0.8291015625 0.904296875 0.1220703125 0.173828125`
			`8 0.046875 0.791015625 0.09375 0.1767578125`
			`10 0.36328125 0.875 0.7255859375 0.2373046875`
			`14 0.5869140625 0.673828125 0.4423828125 0.6455078125`
			`14 0.2236328125 0.5439453125 0.2919921875 0.546875`