LuminaAI/Satellite_4_Class-Image

卫星图像RCL数据集包含为Lumina AI的随机对比学习（RCL）算法特别构建的卫星图像，用于图像分类任务。数据集由单独的.png格式的图像文件组成，这些文件按类别组织。数据集结构包括训练和测试文件夹，每个文件夹中包含代表不同类别的子文件夹，每个子文件夹内包含多个图像样本。图像无需调整大小或归一化，文件名在整个数据集中必须是唯一的。

The Satellite Imaging RCL Dataset contains satellite images structured explicitly for classification tasks using Lumina AIs Random Contrast Learning (RCL) algorithm via the PrismRCL application. The dataset consists of individual .png image files organized by class. The dataset structure includes training and test folders, with each folder containing subfolders representing different classes, each with multiple image samples. Images do not require resizing or normalization, and file names must be unique across the entire dataset.