Yolo-12-everything/datasets/train/labels/2010_004889_jpg.rf.7f9c785c8aae8c3a2388ac6d2b9854c3.txt

8 0.6123046875 0.560546875 0.7724609375 0.873046875
8 0.4541015625 0.4873046875 0.8203125 0.8525390625
8 0.205078125 0.1748046875 0.41015625 0.349609375
8 0.123046875 0.16796875 0.24609375 0.3349609375
8 0.3271484375 0.3525390625 0.654296875 0.705078125
8 0.0419921875 0.0927734375 0.083984375 0.1845703125
14 0.197265625 0.3828125 0.3935546875 0.53515625
14 0.3134765625 0.1748046875 0.490234375 0.2978515625
14 0.3388671875 0.384765625 0.6220703125 0.6123046875
14 0.443359375 0.4755859375 0.6259765625 0.7490234375
14 0.65625 0.556640625 0.591796875 0.8818359375
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 0.6123046875 0.560546875 0.7724609375 0.873046875`
			`8 0.4541015625 0.4873046875 0.8203125 0.8525390625`
			`8 0.205078125 0.1748046875 0.41015625 0.349609375`
			`8 0.123046875 0.16796875 0.24609375 0.3349609375`
			`8 0.3271484375 0.3525390625 0.654296875 0.705078125`
			`8 0.0419921875 0.0927734375 0.083984375 0.1845703125`
			`14 0.197265625 0.3828125 0.3935546875 0.53515625`
			`14 0.3134765625 0.1748046875 0.490234375 0.2978515625`
			`14 0.3388671875 0.384765625 0.6220703125 0.6123046875`
			`14 0.443359375 0.4755859375 0.6259765625 0.7490234375`
			`14 0.65625 0.556640625 0.591796875 0.8818359375`