Yolo-12-everything/datasets/train/labels/2010_005243_jpg.rf.4af96748a171b7778b8c465216723b9e.txt

12 0.23828125 0.5166015625 0.1279296875 0.474609375
8 0.4951171875 0.8583984375 0.2939453125 0.2763671875
8 0.7607421875 0.943359375 0.150390625 0.1083984375
8 0.8798828125 0.6259765625 0.091796875 0.20703125
19 0.8505859375 0.34375 0.1181640625 0.1474609375
14 0.7314453125 0.3681640625 0.1337890625 0.3935546875
14 0.9091796875 0.8017578125 0.177734375 0.390625
14 0.7041015625 0.486328125 0.0556640625 0.162109375
14 0.6357421875 0.701171875 0.16015625 0.591796875
14 0.484375 0.767578125 0.255859375 0.458984375
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			`12 0.23828125 0.5166015625 0.1279296875 0.474609375`
			`8 0.4951171875 0.8583984375 0.2939453125 0.2763671875`
			`8 0.7607421875 0.943359375 0.150390625 0.1083984375`
			`8 0.8798828125 0.6259765625 0.091796875 0.20703125`
			`19 0.8505859375 0.34375 0.1181640625 0.1474609375`
			`14 0.7314453125 0.3681640625 0.1337890625 0.3935546875`
			`14 0.9091796875 0.8017578125 0.177734375 0.390625`
			`14 0.7041015625 0.486328125 0.0556640625 0.162109375`
			`14 0.6357421875 0.701171875 0.16015625 0.591796875`
			`14 0.484375 0.767578125 0.255859375 0.458984375`