Yolo-12-everything/datasets/train/labels/2010_004741_jpg.rf.10599c875cb6c2f200676cfbb0e3ecc0.txt

17 0.4189453125 0.431640625 0.48828125 0.37890625
14 0.7353515625 0.671875 0.244140625 0.572265625
14 0.6640625 0.4873046875 0.13671875 0.341796875
14 0.44140625 0.484375 0.18359375 0.37890625
14 0.2880859375 0.6201171875 0.251953125 0.474609375
4 0.4267578125 0.7255859375 0.04296875 0.10546875
10 0.5048828125 0.7578125 0.40625 0.330078125
10 0.341796875 0.90234375 0.5546875 0.1953125
4 0.1552734375 0.7880859375 0.033203125 0.115234375
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			`17 0.4189453125 0.431640625 0.48828125 0.37890625`
			`14 0.7353515625 0.671875 0.244140625 0.572265625`
			`14 0.6640625 0.4873046875 0.13671875 0.341796875`
			`14 0.44140625 0.484375 0.18359375 0.37890625`
			`14 0.2880859375 0.6201171875 0.251953125 0.474609375`
			`4 0.4267578125 0.7255859375 0.04296875 0.10546875`
			`10 0.5048828125 0.7578125 0.40625 0.330078125`
			`10 0.341796875 0.90234375 0.5546875 0.1953125`
			`4 0.1552734375 0.7880859375 0.033203125 0.115234375`