Yolo-12-everything/datasets/train/labels/2009_002993_jpg.rf.29543129735d1160c3514545a56c3ffd.txt

14 0.150390625 0.53125 0.2802734375 0.857421875
14 0.3720703125 0.517578125 0.2724609375 0.8994140625
14 0.5673828125 0.509765625 0.2861328125 0.9189453125
14 0.8251953125 0.50390625 0.3017578125 0.9296875
13 0.1826171875 0.5615234375 0.314453125 0.509765625
13 0.4453125 0.6298828125 0.2861328125 0.345703125
13 0.724609375 0.560546875 0.1337890625 0.4638671875
13 0.958984375 0.552734375 0.078125 0.4921875
14 0.9736328125 0.314453125 0.0478515625 0.16015625
14 0.025390625 0.4013671875 0.0498046875 0.2734375
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 0.150390625 0.53125 0.2802734375 0.857421875`
			`14 0.3720703125 0.517578125 0.2724609375 0.8994140625`
			`14 0.5673828125 0.509765625 0.2861328125 0.9189453125`
			`14 0.8251953125 0.50390625 0.3017578125 0.9296875`
			`13 0.1826171875 0.5615234375 0.314453125 0.509765625`
			`13 0.4453125 0.6298828125 0.2861328125 0.345703125`
			`13 0.724609375 0.560546875 0.1337890625 0.4638671875`
			`13 0.958984375 0.552734375 0.078125 0.4921875`
			`14 0.9736328125 0.314453125 0.0478515625 0.16015625`
			`14 0.025390625 0.4013671875 0.0498046875 0.2734375`