Yolo-12-everything/datasets/train/labels/2008_005612_jpg.rf.1a642b98b873d7a4880eb01937807462.txt

6 0.1669921875 0.5625 0.2978515625 0.1708984375
6 0.3564453125 0.5869140625 0.15234375 0.1494140625
14 0.8076171875 0.712890625 0.2998046875 0.568359375
14 0.7275390625 0.7265625 0.1279296875 0.541015625
14 0.5537109375 0.7236328125 0.1162109375 0.546875
14 0.458984375 0.734375 0.1103515625 0.525390625
14 0.6123046875 0.6689453125 0.072265625 0.3466796875
14 0.66796875 0.6201171875 0.0595703125 0.2744140625
14 0.3505859375 0.76171875 0.0576171875 0.2001953125
14 0.4033203125 0.7548828125 0.08984375 0.138671875
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			`6 0.1669921875 0.5625 0.2978515625 0.1708984375`
			`6 0.3564453125 0.5869140625 0.15234375 0.1494140625`
			`14 0.8076171875 0.712890625 0.2998046875 0.568359375`
			`14 0.7275390625 0.7265625 0.1279296875 0.541015625`
			`14 0.5537109375 0.7236328125 0.1162109375 0.546875`
			`14 0.458984375 0.734375 0.1103515625 0.525390625`
			`14 0.6123046875 0.6689453125 0.072265625 0.3466796875`
			`14 0.66796875 0.6201171875 0.0595703125 0.2744140625`
			`14 0.3505859375 0.76171875 0.0576171875 0.2001953125`
			`14 0.4033203125 0.7548828125 0.08984375 0.138671875`