Yolo-12-everything/datasets/train/labels/2010_001113_jpg.rf.a41fa24574703afb6a81b3c2e8411f61.txt

14 0.23828125 0.78515625 0.26953125 0.4296875
14 0.4765625 0.8037109375 0.228515625 0.390625
14 0.6171875 0.79296875 0.193359375 0.37890625
14 0.8583984375 0.7744140625 0.267578125 0.423828125
14 0.38671875 0.6357421875 0.228515625 0.6953125
14 0.5439453125 0.568359375 0.1796875 0.458984375
14 0.595703125 0.3916015625 0.107421875 0.22265625
14 0.6669921875 0.6357421875 0.19921875 0.447265625
10 0.900390625 0.6796875 0.16015625 0.14453125
19 0.0712890625 0.6630859375 0.142578125 0.564453125
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 0.23828125 0.78515625 0.26953125 0.4296875`
			`14 0.4765625 0.8037109375 0.228515625 0.390625`
			`14 0.6171875 0.79296875 0.193359375 0.37890625`
			`14 0.8583984375 0.7744140625 0.267578125 0.423828125`
			`14 0.38671875 0.6357421875 0.228515625 0.6953125`
			`14 0.5439453125 0.568359375 0.1796875 0.458984375`
			`14 0.595703125 0.3916015625 0.107421875 0.22265625`
			`14 0.6669921875 0.6357421875 0.19921875 0.447265625`
			`10 0.900390625 0.6796875 0.16015625 0.14453125`
			`19 0.0712890625 0.6630859375 0.142578125 0.564453125`