ClimateIQA

该数据集名为ClimateIQA，是首个气象视觉问答（VQA）数据集，包含了8,760张风涌热图和254,040组问题-答案对，覆盖了四种问题类型，这些数据均源自最新的气候再分析资料。数据集包含了多种类型的问题，如验证、枚举、地理索引和描述问题，这对于分析极端天气事件非常有用。该数据集的规模为8,760张热图和254,040组问题-答案对，其任务是将极端天气事件检测（Ewed）视为视觉问答（VQA）问题来处理。

This dataset, named ClimateIQA, is the first meteorological visual question answering (VQA) dataset. It comprises 8,760 wind-induced heatmaps and 254,040 question-answer pairs, covering four categories of questions, with all data sourced from the latest climate reanalysis data. The dataset includes diverse question types such as verification, enumeration, geospatial indexing, and descriptive questions, which is highly beneficial for analyzing extreme weather events. With a total scale of 8,760 heatmaps and 254,040 question-answer pairs, its core task is to frame extreme weather event detection (EWED) as a visual question answering (VQA) problem.

搜集汇总

背景与挑战

背景概述

ClimateIQA是一个包含26,280张高分辨率热力图和762,120个问答对的气象视觉问答数据集，专注于风阵、总降水量、风寒指数和热指数分析，旨在提升视觉语言模型在极端天气特征解释中的准确性。