Yolo-12-everything/datasets/train/labels/2011_002482_jpg.rf.7442a21ace5edf158d2174a15be25a3e.txt

4 0.111328125 0.42578125 0.076171875 0.212890625
14 0.408203125 0.650390625 0.3984375 0.69921875
14 0.7529296875 0.53515625 0.35546875 0.91796875
14 0.3095703125 0.5546875 0.236328125 0.6171875
14 0.126953125 0.625 0.25390625 0.75
14 0.6025390625 0.20703125 0.15234375 0.373046875
14 0.865234375 0.494140625 0.26953125 0.98828125
4 0.541015625 0.861328125 0.064453125 0.228515625
4 0.591796875 0.2353515625 0.033203125 0.0625
14 0.7744140625 0.091796875 0.130859375 0.18359375
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 0.111328125 0.42578125 0.076171875 0.212890625`
			`14 0.408203125 0.650390625 0.3984375 0.69921875`
			`14 0.7529296875 0.53515625 0.35546875 0.91796875`
			`14 0.3095703125 0.5546875 0.236328125 0.6171875`
			`14 0.126953125 0.625 0.25390625 0.75`
			`14 0.6025390625 0.20703125 0.15234375 0.373046875`
			`14 0.865234375 0.494140625 0.26953125 0.98828125`
			`4 0.541015625 0.861328125 0.064453125 0.228515625`
			`4 0.591796875 0.2353515625 0.033203125 0.0625`
			`14 0.7744140625 0.091796875 0.130859375 0.18359375`