Yolo-12-everything/datasets/train/labels/2008_005201_jpg.rf.4832dac7bff9116279aa1f1707e4076c.txt

1 0.1611328125 0.5517578125 0.322265625 0.4150390625
1 0.4853515625 0.55859375 0.509765625 0.607421875
1 0.7216796875 0.6298828125 0.4404296875 0.6806640625
14 0.5048828125 0.423828125 0.2861328125 0.728515625
6 0.7763671875 0.03515625 0.103515625 0.0546875
6 0.9345703125 0.03125 0.0703125 0.0517578125
4 0.8583984375 0.5908203125 0.087890625 0.091796875
4 0.712890625 0.47265625 0.0302734375 0.056640625
4 0.4326171875 0.376953125 0.0576171875 0.091796875
4 0.02734375 0.48828125 0.0537109375 0.09765625
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			`1 0.1611328125 0.5517578125 0.322265625 0.4150390625`
			`1 0.4853515625 0.55859375 0.509765625 0.607421875`
			`1 0.7216796875 0.6298828125 0.4404296875 0.6806640625`
			`14 0.5048828125 0.423828125 0.2861328125 0.728515625`
			`6 0.7763671875 0.03515625 0.103515625 0.0546875`
			`6 0.9345703125 0.03125 0.0703125 0.0517578125`
			`4 0.8583984375 0.5908203125 0.087890625 0.091796875`
			`4 0.712890625 0.47265625 0.0302734375 0.056640625`
			`4 0.4326171875 0.376953125 0.0576171875 0.091796875`
			`4 0.02734375 0.48828125 0.0537109375 0.09765625`