Yolo-12-everything/datasets/valid/labels/2007_001311_jpg.rf.9cf931a23e4b693e8c1de2afa8563576.txt

1 0.953125 0.419921875 0.0498046875 0.1943359375
1 0.89453125 0.4736328125 0.06640625 0.212890625
1 0.7119140625 0.5419921875 0.091796875 0.2880859375
1 0.478515625 0.7919921875 0.25390625 0.4111328125
1 0.19140625 0.7490234375 0.337890625 0.4951171875
14 0.9560546875 0.3427734375 0.064453125 0.2724609375
14 0.8974609375 0.3828125 0.07421875 0.30078125
14 0.7177734375 0.435546875 0.1083984375 0.3828125
14 0.4755859375 0.6220703125 0.2080078125 0.5859375
14 0.1884765625 0.53125 0.2724609375 0.6865234375
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			`1 0.953125 0.419921875 0.0498046875 0.1943359375`
			`1 0.89453125 0.4736328125 0.06640625 0.212890625`
			`1 0.7119140625 0.5419921875 0.091796875 0.2880859375`
			`1 0.478515625 0.7919921875 0.25390625 0.4111328125`
			`1 0.19140625 0.7490234375 0.337890625 0.4951171875`
			`14 0.9560546875 0.3427734375 0.064453125 0.2724609375`
			`14 0.8974609375 0.3828125 0.07421875 0.30078125`
			`14 0.7177734375 0.435546875 0.1083984375 0.3828125`
			`14 0.4755859375 0.6220703125 0.2080078125 0.5859375`
			`14 0.1884765625 0.53125 0.2724609375 0.6865234375`