GFM-Bench/So2Sat

So2Sat是一个用于局部气候区（LCZ）分类的任务数据集，包含来自Sentinel-1和Sentinel-2的图像。该数据集仅保留具有10个MSI波段的Sentinel-2图像。此外，训练集的10%作为验证集，共有31,713个训练样本，3,523个验证样本和48,307个测试样本。数据集使用10米空间分辨率的32x32像素图像，包含17个分类类别。数据集的特征包括Sentinel-2图像、分类标签以及每个波段的中心波长信息。

So2Sat is a local climate zone (LCZ) classification task dataset consisting of images from Sentinel-1 and Sentinel-2. The dataset only retains Sentinel-2 images with 10 MSI bands. Additionally, 10% of the training set is reserved as the validation set, resulting in 31,713 training samples, 3,523 validation samples, and 48,307 test samples. The dataset uses images with 32x32 pixels at a spatial resolution of 10 meters, containing 17 classification categories. The features of the dataset include Sentinel-2 images, classification labels, and the central wavelength information of each band.