Yolo-12-everything/datasets/train/labels/2009_000759_jpg.rf.f79e567911e45f03692d6fcf9914bfdd.txt

14 0.75 0.41015625 0.095703125 0.1650390625
14 0.625 0.4052734375 0.146484375 0.306640625
14 0.6826171875 0.390625 0.0615234375 0.2099609375
14 0.5224609375 0.396484375 0.1396484375 0.384765625
14 0.4716796875 0.37109375 0.236328125 0.4296875
14 0.3046875 0.4169921875 0.2255859375 0.564453125
14 0.1171875 0.423828125 0.234375 0.6904296875
14 0.896484375 0.443359375 0.1923828125 0.423828125
14 0.853515625 0.4443359375 0.1083984375 0.3125
14 0.857421875 0.5947265625 0.2822265625 0.8046875
10 0.4423828125 0.75390625 0.8837890625 0.486328125
4 0.384765625 0.505859375 0.078125 0.20703125
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			`14 0.75 0.41015625 0.095703125 0.1650390625`
			`14 0.625 0.4052734375 0.146484375 0.306640625`
			`14 0.6826171875 0.390625 0.0615234375 0.2099609375`
			`14 0.5224609375 0.396484375 0.1396484375 0.384765625`
			`14 0.4716796875 0.37109375 0.236328125 0.4296875`
			`14 0.3046875 0.4169921875 0.2255859375 0.564453125`
			`14 0.1171875 0.423828125 0.234375 0.6904296875`
			`14 0.896484375 0.443359375 0.1923828125 0.423828125`
			`14 0.853515625 0.4443359375 0.1083984375 0.3125`
			`14 0.857421875 0.5947265625 0.2822265625 0.8046875`
			`10 0.4423828125 0.75390625 0.8837890625 0.486328125`
			`4 0.384765625 0.505859375 0.078125 0.20703125`