infinite-dataset-hub/GlobalEyeSatelliteSegmentation

‘GlobalEyeSatelliteSegmentation’数据集包含由不同卫星捕获的地理空间图像，旨在对不同的土地利用和土地覆盖（LULC）段进行分类。该数据集的结构旨在方便遥感应用和机器学习分类模型，用于识别和分割基于其光谱特征的区域。数据集中的图像已经过处理，包括监督学习的地面真实标注。

The GlobalEyeSatelliteSegmentation dataset contains geospatial images captured by various satellites with the objective of classifying different land use and land cover (LULC) segments. The dataset is structured to facilitate remote sensing applications and machine learning classification models aimed at identifying and segmenting distinct areas based on their spectral signatures. The images in the dataset have been processed to include ground truth annotations for supervised learning.