Yolo-12-everything/datasets/train/labels/2008_003280_jpg.rf.66c5e53efe8d201b3c8660bd4f6d22ee.txt

19 0.677734375 0.4404296875 0.1171875 0.1640625
19 0.77734375 0.453125 0.09375 0.185546875
19 0.3427734375 0.3798828125 0.0556640625 0.068359375
14 0.4814453125 0.6220703125 0.51953125 0.48828125
14 0.2001953125 0.427734375 0.197265625 0.1796875
8 0.3037109375 0.7412109375 0.3203125 0.333984375
8 0.15625 0.5908203125 0.18359375 0.2177734375
4 0.8974609375 0.6171875 0.05078125 0.1220703125
4 0.9169921875 0.607421875 0.037109375 0.1142578125
4 0.248046875 0.439453125 0.0322265625 0.0537109375
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			`19 0.677734375 0.4404296875 0.1171875 0.1640625`
			`19 0.77734375 0.453125 0.09375 0.185546875`
			`19 0.3427734375 0.3798828125 0.0556640625 0.068359375`
			`14 0.4814453125 0.6220703125 0.51953125 0.48828125`
			`14 0.2001953125 0.427734375 0.197265625 0.1796875`
			`8 0.3037109375 0.7412109375 0.3203125 0.333984375`
			`8 0.15625 0.5908203125 0.18359375 0.2177734375`
			`4 0.8974609375 0.6171875 0.05078125 0.1220703125`
			`4 0.9169921875 0.607421875 0.037109375 0.1142578125`
			`4 0.248046875 0.439453125 0.0322265625 0.0537109375`