Yolo-12-everything/datasets/train/labels/2008_004482_jpg.rf.71df76be50cb3afe2839e4e4c7fb43b3.txt

14 0.12890625 0.4248046875 0.1796875 0.306640625
14 0.0703125 0.6748046875 0.140625 0.650390625
14 0.318359375 0.6435546875 0.2578125 0.712890625
14 0.42578125 0.6279296875 0.21875 0.744140625
14 0.6640625 0.6044921875 0.283203125 0.759765625
14 0.798828125 0.580078125 0.19140625 0.39453125
6 0.13671875 0.4931640625 0.2734375 0.373046875
1 0.1728515625 0.6240234375 0.1484375 0.291015625
6 0.8515625 0.517578125 0.296875 0.29296875
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 0.12890625 0.4248046875 0.1796875 0.306640625`
			`14 0.0703125 0.6748046875 0.140625 0.650390625`
			`14 0.318359375 0.6435546875 0.2578125 0.712890625`
			`14 0.42578125 0.6279296875 0.21875 0.744140625`
			`14 0.6640625 0.6044921875 0.283203125 0.759765625`
			`14 0.798828125 0.580078125 0.19140625 0.39453125`
			`6 0.13671875 0.4931640625 0.2734375 0.373046875`
			`1 0.1728515625 0.6240234375 0.1484375 0.291015625`
			`6 0.8515625 0.517578125 0.296875 0.29296875`