Yolo-12-everything/datasets/train/labels/2011_000828_jpg.rf.417044eb6d58b8bf1c49d0e07309b028.txt

4 0.3916015625 0.1748046875 0.05859375 0.037109375
17 0.52734375 0.7783203125 0.9453125 0.443359375
4 0.9814453125 0.408203125 0.037109375 0.171875
14 0.7314453125 0.701171875 0.34765625 0.583984375
14 0.482421875 0.65625 0.2890625 0.6875
14 0.212890625 0.705078125 0.42578125 0.58984375
14 0.8173828125 0.3037109375 0.255859375 0.607421875
14 0.6533203125 0.296875 0.23828125 0.453125
14 0.41796875 0.34375 0.2890625 0.56640625
14 0.2666015625 0.3154296875 0.109375 0.265625
14 0.16796875 0.4033203125 0.259765625 0.650390625
14 0.0380859375 0.58984375 0.07421875 0.203125
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 0.3916015625 0.1748046875 0.05859375 0.037109375`
			`17 0.52734375 0.7783203125 0.9453125 0.443359375`
			`4 0.9814453125 0.408203125 0.037109375 0.171875`
			`14 0.7314453125 0.701171875 0.34765625 0.583984375`
			`14 0.482421875 0.65625 0.2890625 0.6875`
			`14 0.212890625 0.705078125 0.42578125 0.58984375`
			`14 0.8173828125 0.3037109375 0.255859375 0.607421875`
			`14 0.6533203125 0.296875 0.23828125 0.453125`
			`14 0.41796875 0.34375 0.2890625 0.56640625`
			`14 0.2666015625 0.3154296875 0.109375 0.265625`
			`14 0.16796875 0.4033203125 0.259765625 0.650390625`
			`14 0.0380859375 0.58984375 0.07421875 0.203125`