Yolo-12-everything/datasets/train/labels/2010_003632_jpg.rf.4a7b605ae8f08a6eb75c4a6cc803623e.txt

8 0.9521484375 0.736328125 0.091796875 0.123046875
8 0.9423828125 0.9111328125 0.1123046875 0.1728515625
8 0.078125 0.8916015625 0.15625 0.205078125
14 0.310546875 0.5478515625 0.314453125 0.8984375
14 0.5498046875 0.5390625 0.34765625 0.9169921875
14 0.6396484375 0.54296875 0.5400390625 0.9091796875
14 0.0537109375 0.78125 0.107421875 0.4296875
14 0.0927734375 0.66796875 0.1259765625 0.205078125
14 0.9404296875 0.62890625 0.1162109375 0.2666015625
14 0.888671875 0.5986328125 0.0576171875 0.103515625
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			`8 0.9521484375 0.736328125 0.091796875 0.123046875`
			`8 0.9423828125 0.9111328125 0.1123046875 0.1728515625`
			`8 0.078125 0.8916015625 0.15625 0.205078125`
			`14 0.310546875 0.5478515625 0.314453125 0.8984375`
			`14 0.5498046875 0.5390625 0.34765625 0.9169921875`
			`14 0.6396484375 0.54296875 0.5400390625 0.9091796875`
			`14 0.0537109375 0.78125 0.107421875 0.4296875`
			`14 0.0927734375 0.66796875 0.1259765625 0.205078125`
			`14 0.9404296875 0.62890625 0.1162109375 0.2666015625`
			`14 0.888671875 0.5986328125 0.0576171875 0.103515625`