Yolo-12-everything/datasets/train/labels/2008_000041_jpg.rf.8751b89ea418ebd76b3f6908b8e300d4.txt

14 0.65625 0.533203125 0.234375 0.17578125
14 0.6220703125 0.5556640625 0.068359375 0.11328125
14 0.4609375 0.5478515625 0.1015625 0.162109375
14 0.3212890625 0.65625 0.16015625 0.451171875
14 0.9560546875 0.6669921875 0.087890625 0.228515625
14 0.9365234375 0.5439453125 0.126953125 0.189453125
8 0.806640625 0.85546875 0.20703125 0.27734375
8 0.6220703125 0.814453125 0.181640625 0.306640625
8 0.478515625 0.84375 0.19921875 0.310546875
10 0.552734375 0.736328125 0.51171875 0.29296875
15 0.13671875 0.541015625 0.060546875 0.068359375
14 0.8291015625 0.720703125 0.23046875 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			`14 0.65625 0.533203125 0.234375 0.17578125`
			`14 0.6220703125 0.5556640625 0.068359375 0.11328125`
			`14 0.4609375 0.5478515625 0.1015625 0.162109375`
			`14 0.3212890625 0.65625 0.16015625 0.451171875`
			`14 0.9560546875 0.6669921875 0.087890625 0.228515625`
			`14 0.9365234375 0.5439453125 0.126953125 0.189453125`
			`8 0.806640625 0.85546875 0.20703125 0.27734375`
			`8 0.6220703125 0.814453125 0.181640625 0.306640625`
			`8 0.478515625 0.84375 0.19921875 0.310546875`
			`10 0.552734375 0.736328125 0.51171875 0.29296875`
			`15 0.13671875 0.541015625 0.060546875 0.068359375`
			`14 0.8291015625 0.720703125 0.23046875 0.458984375`