Yolo-12-everything/datasets/train/labels/2011_001009_jpg.rf.c40a994c5945d83998c033278e7c539e.txt

15 0.919921875 0.4453125 0.1484375 0.474609375
8 0.5615234375 0.810546875 0.423828125 0.3681640625
8 0.7451171875 0.7470703125 0.265625 0.5009765625
8 0.8525390625 0.6357421875 0.1142578125 0.4716796875
8 0.033203125 0.740234375 0.06640625 0.4453125
8 0.2998046875 0.376953125 0.0556640625 0.09375
10 0.3505859375 0.6748046875 0.701171875 0.642578125
14 0.5927734375 0.587890625 0.4296875 0.642578125
14 0.7802734375 0.38671875 0.2724609375 0.4052734375
14 0.5927734375 0.26953125 0.1943359375 0.234375
14 0.3876953125 0.3056640625 0.1484375 0.232421875
14 0.2255859375 0.3681640625 0.16015625 0.2509765625
14 0.1181640625 0.591796875 0.236328125 0.7197265625
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			`15 0.919921875 0.4453125 0.1484375 0.474609375`
			`8 0.5615234375 0.810546875 0.423828125 0.3681640625`
			`8 0.7451171875 0.7470703125 0.265625 0.5009765625`
			`8 0.8525390625 0.6357421875 0.1142578125 0.4716796875`
			`8 0.033203125 0.740234375 0.06640625 0.4453125`
			`8 0.2998046875 0.376953125 0.0556640625 0.09375`
			`10 0.3505859375 0.6748046875 0.701171875 0.642578125`
			`14 0.5927734375 0.587890625 0.4296875 0.642578125`
			`14 0.7802734375 0.38671875 0.2724609375 0.4052734375`
			`14 0.5927734375 0.26953125 0.1943359375 0.234375`
			`14 0.3876953125 0.3056640625 0.1484375 0.232421875`
			`14 0.2255859375 0.3681640625 0.16015625 0.2509765625`
			`14 0.1181640625 0.591796875 0.236328125 0.7197265625`