Yolo-12-everything/datasets/train/labels/2010_001142_jpg.rf.8a6fbed3509aa3af6593cd7b0fdccbce.txt

4 0.5419921875 0.603515625 0.037109375 0.091796875
4 0.6015625 0.4609375 0.02734375 0.05859375
4 0.521484375 0.5576171875 0.033203125 0.07421875
4 0.5703125 0.5703125 0.0234375 0.056640625
4 0.4296875 0.576171875 0.017578125 0.05078125
14 0.6845703125 0.4306640625 0.1171875 0.3125
14 0.6572265625 0.6845703125 0.201171875 0.458984375
14 0.369140625 0.58203125 0.123046875 0.21484375
14 0.42578125 0.4892578125 0.037109375 0.0703125
14 0.49609375 0.515625 0.126953125 0.212890625
14 0.6318359375 0.5673828125 0.103515625 0.150390625
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			`4 0.5419921875 0.603515625 0.037109375 0.091796875`
			`4 0.6015625 0.4609375 0.02734375 0.05859375`
			`4 0.521484375 0.5576171875 0.033203125 0.07421875`
			`4 0.5703125 0.5703125 0.0234375 0.056640625`
			`4 0.4296875 0.576171875 0.017578125 0.05078125`
			`14 0.6845703125 0.4306640625 0.1171875 0.3125`
			`14 0.6572265625 0.6845703125 0.201171875 0.458984375`
			`14 0.369140625 0.58203125 0.123046875 0.21484375`
			`14 0.42578125 0.4892578125 0.037109375 0.0703125`
			`14 0.49609375 0.515625 0.126953125 0.212890625`
			`14 0.6318359375 0.5673828125 0.103515625 0.150390625`