Yolo-12-everything/datasets/train/labels/2008_001811_jpg.rf.2576371d8290c68d7be7a0dc12bffdf5.txt

14 0.4052734375 0.537109375 0.23046875 0.7451171875
14 0.591796875 0.58984375 0.1484375 0.6220703125
14 0.720703125 0.625 0.1298828125 0.541015625
14 0.8720703125 0.7734375 0.1240234375 0.447265625
14 0.1259765625 0.7744140625 0.0478515625 0.1318359375
14 0.1943359375 0.8037109375 0.0556640625 0.1767578125
14 0.076171875 0.7744140625 0.0400390625 0.1142578125
14 0.2822265625 0.5283203125 0.1484375 0.7509765625
14 0.94140625 0.830078125 0.0458984375 0.21875
14 0.984375 0.82421875 0.0283203125 0.2314453125
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 0.4052734375 0.537109375 0.23046875 0.7451171875`
			`14 0.591796875 0.58984375 0.1484375 0.6220703125`
			`14 0.720703125 0.625 0.1298828125 0.541015625`
			`14 0.8720703125 0.7734375 0.1240234375 0.447265625`
			`14 0.1259765625 0.7744140625 0.0478515625 0.1318359375`
			`14 0.1943359375 0.8037109375 0.0556640625 0.1767578125`
			`14 0.076171875 0.7744140625 0.0400390625 0.1142578125`
			`14 0.2822265625 0.5283203125 0.1484375 0.7509765625`
			`14 0.94140625 0.830078125 0.0458984375 0.21875`
			`14 0.984375 0.82421875 0.0283203125 0.2314453125`