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数据集 #2

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Dingxiangtao opened this issue May 22, 2024 · 1 comment
Open

数据集 #2

Dingxiangtao opened this issue May 22, 2024 · 1 comment

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@Dingxiangtao
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作者你好,请问代码中数据集用的是哪个?对数据集应该怎么处理,文件结构是怎样的?

@peach-xiao
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论文中使用了Potsdam、Vaihingen和LoveDA共3个数据集,下载链接已经给出。

  1. Potsdam数据集选取了”3_Ortho_IRRG“中的图像,”5_Labels_for_participants“文件夹中的24张标签图像和对应的原始图像分别作为训练集的标签和输入图像。其余的14张图像和对应的标签图像作为验证集;

  2. Vaihingen数据集选取了”gts_for_participants“文价夹中的16张标签图像和对应的原始图像作为训练集,其余的17张图像作为验证集;

  3. LoveDA数据集选取了Train和Val,每个数据集都包括Rural和Urban两个场景,将其合并在一起用于实验。

由于数据集图像太大而无法训练,所有数据集中的图片都裁剪为无重叠的256 × 256大小。

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