Yolo-12-everything/datasets/train/labels/2009_001759_jpg.rf.22d7d6303f9d3d40a023af259d681486.txt

14 0.865234375 0.458984375 0.265625 0.3310546875
14 0.6533203125 0.43359375 0.078125 0.306640625
14 0.2509765625 0.5693359375 0.341796875 0.658203125
14 0.517578125 0.40625 0.0556640625 0.263671875
14 0.4541015625 0.302734375 0.0361328125 0.072265625
14 0.404296875 0.310546875 0.0517578125 0.103515625
13 0.2353515625 0.67578125 0.3740234375 0.642578125
13 0.869140625 0.517578125 0.2578125 0.416015625
13 0.630859375 0.474609375 0.2138671875 0.2666015625
13 0.486328125 0.423828125 0.15234375 0.21875
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 0.865234375 0.458984375 0.265625 0.3310546875`
			`14 0.6533203125 0.43359375 0.078125 0.306640625`
			`14 0.2509765625 0.5693359375 0.341796875 0.658203125`
			`14 0.517578125 0.40625 0.0556640625 0.263671875`
			`14 0.4541015625 0.302734375 0.0361328125 0.072265625`
			`14 0.404296875 0.310546875 0.0517578125 0.103515625`
			`13 0.2353515625 0.67578125 0.3740234375 0.642578125`
			`13 0.869140625 0.517578125 0.2578125 0.416015625`
			`13 0.630859375 0.474609375 0.2138671875 0.2666015625`
			`13 0.486328125 0.423828125 0.15234375 0.21875`