GeoChat Instruct 遥感多模态指令跟踪数据集

GeoChat Instruct 数据集是一个为遥感领域设计的多模态指令跟踪数据集，它由 Mohamed bin Zayed University of AI 的研究团队在论文《GeoChat: Grounded Large Vision-Language Model for Remote Sensing》中提出，该论文发表在 CVPR2024 上。论文的主要内容是介绍 GeoChat 模型以及 GeoChat_Instruct 数据集的构建和应用。

The GeoChat Instruct dataset is a multimodal instruction-following dataset tailored for the remote sensing field. It was proposed by the research team at Mohamed bin Zayed University of AI in the paper *GeoChat: Grounded Large Vision-Language Model for Remote Sensing*, which was published at CVPR 2024. The core content of this paper introduces the GeoChat model as well as the construction and application of the GeoChat_Instruct dataset.

AI搜集汇总

背景与挑战

背景概述

GeoChat Instruct 是一个专为遥感领域设计的多模态指令跟踪数据集，包含约318k条指令，用于扩展多模态指令调整到遥感任务中。该数据集由Mohamed bin Zayed University of AI团队在CVPR2024论文中提出，旨在解决遥感领域缺乏多模态对话数据的问题，并用于训练和微调名为GeoChat的视觉语言模型，以支持多任务会话助理应用。