Yolo-12-everything/datasets/train/labels/2010_002400_jpg.rf.4a34cf200bc567498079ac4658f60d3e.txt

10 0.498046875 0.87890625 0.99609375 0.2373046875
8 0.76171875 0.5888671875 0.1640625 0.3515625
8 0.9453125 0.5224609375 0.1064453125 0.2724609375
8 0.86328125 0.474609375 0.0615234375 0.181640625
8 0.681640625 0.4658203125 0.1083984375 0.146484375
8 0.328125 0.458984375 0.103515625 0.1064453125
8 0.29296875 0.5029296875 0.1416015625 0.16796875
14 0.5419921875 0.4814453125 0.4677734375 0.6103515625
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			`10 0.498046875 0.87890625 0.99609375 0.2373046875`
			`8 0.76171875 0.5888671875 0.1640625 0.3515625`
			`8 0.9453125 0.5224609375 0.1064453125 0.2724609375`
			`8 0.86328125 0.474609375 0.0615234375 0.181640625`
			`8 0.681640625 0.4658203125 0.1083984375 0.146484375`
			`8 0.328125 0.458984375 0.103515625 0.1064453125`
			`8 0.29296875 0.5029296875 0.1416015625 0.16796875`
			`14 0.5419921875 0.4814453125 0.4677734375 0.6103515625`