Yolo-12-everything/datasets/train/labels/2008_000803_jpg.rf.446b384050378458b39ffdd5da539645.txt

13 0.890625 0.1591796875 0.0576171875 0.2314453125
14 0.814453125 0.591796875 0.087890625 0.720703125
14 0.6357421875 0.5390625 0.103515625 0.7294921875
14 0.6826171875 0.5439453125 0.09375 0.6943359375
14 0.4521484375 0.4541015625 0.1240234375 0.6728515625
14 0.21875 0.4130859375 0.1015625 0.7724609375
14 0.1337890625 0.3408203125 0.1083984375 0.6640625
14 0.888671875 0.666015625 0.1015625 0.6591796875
1 0.142578125 0.5634765625 0.0703125 0.4453125
1 0.42578125 0.572265625 0.2001953125 0.392578125
1 0.7822265625 0.7353515625 0.076171875 0.4755859375
1 0.607421875 0.6533203125 0.1103515625 0.501953125
14 0.8935546875 0.1376953125 0.0595703125 0.2666015625
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			`13 0.890625 0.1591796875 0.0576171875 0.2314453125`
			`14 0.814453125 0.591796875 0.087890625 0.720703125`
			`14 0.6357421875 0.5390625 0.103515625 0.7294921875`
			`14 0.6826171875 0.5439453125 0.09375 0.6943359375`
			`14 0.4521484375 0.4541015625 0.1240234375 0.6728515625`
			`14 0.21875 0.4130859375 0.1015625 0.7724609375`
			`14 0.1337890625 0.3408203125 0.1083984375 0.6640625`
			`14 0.888671875 0.666015625 0.1015625 0.6591796875`
			`1 0.142578125 0.5634765625 0.0703125 0.4453125`
			`1 0.42578125 0.572265625 0.2001953125 0.392578125`
			`1 0.7822265625 0.7353515625 0.076171875 0.4755859375`
			`1 0.607421875 0.6533203125 0.1103515625 0.501953125`
			`14 0.8935546875 0.1376953125 0.0595703125 0.2666015625`