YiminJimmy/SARLANG-1M

SARLANG-1M是一个大规模的基准数据集，专为多模态SAR图像理解设计，主要关注集成SAR与文本模态。该数据集包含超过100万对高质量SAR图像-文本，这些数据是从全球59个城市收集而来的。它具有分层分辨率（从0.1到25米不等）、细致的语义描述（包括简洁和详细的标题）、多样的遥感类别（包括1696种物体类型和16种土地覆盖类别），以及涵盖七种应用和1012种问题类型的多种任务问题-答案对。

SARLANG-1M is a large-scale benchmark tailored for multimodal SAR image understanding, with a primary focus on integrating SAR with textual modality. The dataset comprises more than 1 million high-quality SAR image-text pairs collected from over 59 cities worldwide. It features hierarchical resolutions (ranging from 0.1 to 25 meters), fine-grained semantic descriptions (including both concise and detailed captions), diverse remote sensing categories (1,696 object types and 16 land cover classes), and multi-task question-answering pairs spanning seven applications and 1,012 question types.