Yolo-12-everything/datasets/valid/labels/2010_000448_jpg.rf.62d66470699c20d73662e3941ef07383.txt

4 0.5927734375 0.525390625 0.08203125 0.1865234375
14 0.8798828125 0.6708984375 0.236328125 0.6533203125
14 0.7568359375 0.71484375 0.1298828125 0.2294921875
14 0.8427734375 0.3759765625 0.3095703125 0.4697265625
14 0.533203125 0.4111328125 0.326171875 0.5283203125
14 0.201171875 0.4296875 0.333984375 0.693359375
14 0.0869140625 0.6572265625 0.173828125 0.4931640625
8 0.0947265625 0.3828125 0.08203125 0.0400390625
8 0.361328125 0.5693359375 0.08984375 0.28515625
14 0.7568359375 0.40625 0.1416015625 0.349609375
8 0.330078125 0.4169921875 0.0517578125 0.0556640625
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			`4 0.5927734375 0.525390625 0.08203125 0.1865234375`
			`14 0.8798828125 0.6708984375 0.236328125 0.6533203125`
			`14 0.7568359375 0.71484375 0.1298828125 0.2294921875`
			`14 0.8427734375 0.3759765625 0.3095703125 0.4697265625`
			`14 0.533203125 0.4111328125 0.326171875 0.5283203125`
			`14 0.201171875 0.4296875 0.333984375 0.693359375`
			`14 0.0869140625 0.6572265625 0.173828125 0.4931640625`
			`8 0.0947265625 0.3828125 0.08203125 0.0400390625`
			`8 0.361328125 0.5693359375 0.08984375 0.28515625`
			`14 0.7568359375 0.40625 0.1416015625 0.349609375`
			`8 0.330078125 0.4169921875 0.0517578125 0.0556640625`