masked-token/solarVQA

SolarVQA是一个基于专家标注的硅太阳能电池电致发光（EL）图像构建的结构化视觉问答数据集。它包含130,712个问答对，覆盖16,339张图像，涵盖八种互补的问题类型，旨在探测缺陷存在、计数、类型识别、严重性、定位、共现和空间分布。SolarVQA is a structured Visual Question Answering dataset built from expert-annotated electroluminescence (EL) images of silicon solar cells. It contains 130,712 QA pairs across 16,339 images spanning eight complementary question types designed to probe defect existence, counting, type identification, severity, localisation, co-occurrence, and spatial distribution.