Yolo-12-everything/datasets/train/labels/2008_003682_jpg.rf.9f15458fdfdd4c1ca689f60452e6f215.txt

1 0.6982421875 0.1796875 0.025390625 0.078125
1 0.861328125 0.1943359375 0.02734375 0.095703125
1 0.6611328125 0.736328125 0.306640625 0.51953125
1 0.06640625 0.84375 0.12109375 0.3125
1 0.091796875 0.8056640625 0.17578125 0.388671875
14 0.0419921875 0.67578125 0.083984375 0.6484375
14 0.060546875 0.5380859375 0.12109375 0.568359375
14 0.6728515625 0.5439453125 0.259765625 0.830078125
14 0.69921875 0.150390625 0.025390625 0.0703125
14 0.7216796875 0.1513671875 0.03125 0.115234375
14 0.857421875 0.154296875 0.029296875 0.09375
14 0.876953125 0.140625 0.02734375 0.111328125
14 0.951171875 0.12109375 0.03515625 0.087890625
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 0.6982421875 0.1796875 0.025390625 0.078125`
			`1 0.861328125 0.1943359375 0.02734375 0.095703125`
			`1 0.6611328125 0.736328125 0.306640625 0.51953125`
			`1 0.06640625 0.84375 0.12109375 0.3125`
			`1 0.091796875 0.8056640625 0.17578125 0.388671875`
			`14 0.0419921875 0.67578125 0.083984375 0.6484375`
			`14 0.060546875 0.5380859375 0.12109375 0.568359375`
			`14 0.6728515625 0.5439453125 0.259765625 0.830078125`
			`14 0.69921875 0.150390625 0.025390625 0.0703125`
			`14 0.7216796875 0.1513671875 0.03125 0.115234375`
			`14 0.857421875 0.154296875 0.029296875 0.09375`
			`14 0.876953125 0.140625 0.02734375 0.111328125`
			`14 0.951171875 0.12109375 0.03515625 0.087890625`