Yolo-12-everything/datasets/train/labels/2008_001389_jpg.rf.876c3437ab85fec483174e3672c04fc0.txt

3 0.4912109375 0.4990234375 0.75390625 0.7099609375
3 0.1865234375 0.775390625 0.060546875 0.013671875
3 0.041015625 0.7783203125 0.0810546875 0.01953125
3 0.904296875 0.7607421875 0.078125 0.0419921875
3 0.7119140625 0.6953125 0.1025390625 0.1982421875
3 0.1923828125 0.80859375 0.2578125 0.0341796875
14 0.3828125 0.7978515625 0.033203125 0.0361328125
14 0.41015625 0.7978515625 0.033203125 0.0283203125
14 0.455078125 0.798828125 0.044921875 0.0263671875
3 0.978515625 0.7861328125 0.0361328125 0.015625
14 0.1845703125 0.7939453125 0.02734375 0.0361328125
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			`3 0.4912109375 0.4990234375 0.75390625 0.7099609375`
			`3 0.1865234375 0.775390625 0.060546875 0.013671875`
			`3 0.041015625 0.7783203125 0.0810546875 0.01953125`
			`3 0.904296875 0.7607421875 0.078125 0.0419921875`
			`3 0.7119140625 0.6953125 0.1025390625 0.1982421875`
			`3 0.1923828125 0.80859375 0.2578125 0.0341796875`
			`14 0.3828125 0.7978515625 0.033203125 0.0361328125`
			`14 0.41015625 0.7978515625 0.033203125 0.0283203125`
			`14 0.455078125 0.798828125 0.044921875 0.0263671875`
			`3 0.978515625 0.7861328125 0.0361328125 0.015625`
			`14 0.1845703125 0.7939453125 0.02734375 0.0361328125`