Yolo-12-everything/datasets/train/labels/2008_004646_jpg.rf.59f98223921bfc5d658a75834a410b1f.txt

0 0.5927734375 0.498046875 0.806640625 0.99609375
0 0.2666015625 0.26953125 0.533203125 0.2578125
0 0.494140625 0.076171875 0.484375 0.15234375
0 0.8837890625 0.4013671875 0.2275390625 0.111328125
0 0.1552734375 0.6474609375 0.3095703125 0.5556640625
0 0.6005859375 0.1953125 0.2255859375 0.083984375
14 0.8662109375 0.6220703125 0.0283203125 0.1025390625
14 0.83984375 0.595703125 0.0283203125 0.0810546875
14 0.7060546875 0.513671875 0.0283203125 0.083984375
14 0.7841796875 0.591796875 0.0283203125 0.06640625
14 0.7490234375 0.5859375 0.017578125 0.06640625
14 0.7587890625 0.552734375 0.013671875 0.0361328125
14 0.7724609375 0.55078125 0.01953125 0.033203125
0 0.1240234375 0.1201171875 0.2236328125 0.1318359375
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			`0 0.5927734375 0.498046875 0.806640625 0.99609375`
			`0 0.2666015625 0.26953125 0.533203125 0.2578125`
			`0 0.494140625 0.076171875 0.484375 0.15234375`
			`0 0.8837890625 0.4013671875 0.2275390625 0.111328125`
			`0 0.1552734375 0.6474609375 0.3095703125 0.5556640625`
			`0 0.6005859375 0.1953125 0.2255859375 0.083984375`
			`14 0.8662109375 0.6220703125 0.0283203125 0.1025390625`
			`14 0.83984375 0.595703125 0.0283203125 0.0810546875`
			`14 0.7060546875 0.513671875 0.0283203125 0.083984375`
			`14 0.7841796875 0.591796875 0.0283203125 0.06640625`
			`14 0.7490234375 0.5859375 0.017578125 0.06640625`
			`14 0.7587890625 0.552734375 0.013671875 0.0361328125`
			`14 0.7724609375 0.55078125 0.01953125 0.033203125`
			`0 0.1240234375 0.1201171875 0.2236328125 0.1318359375`