中国典型城市建筑物实例数据集

Building contour data is an important part of basic geographic information. The performance of building automatic extraction is driven by a large number of training samples. To enrich the publicly datasets of cities in China, we created a building instance dataset that is sourced from high-resolution remote sensing images and was manually and interactively annotated. This dataset consists of 7,260 samples of regions including 63,886 building instances in the cities of Beijing, Shanghai, Shenzhen and Wuhan, China. The annotations of the dataset consist of MS COCO 2017 format files and the corresponding building mask binary maps. This dataset provides fundamental data for the research of building detection and extraction from high-resolution remote sensing images.

建筑物轮廓数据是基础地理信息的重要组成部分。建筑物自动提取任务的性能表现，有赖于大规模训练样本的支撑。为丰富我国城市公开数据集资源，我们构建了一套源自高分辨率遥感影像、经手动交互式标注的建筑物实例数据集。该数据集包含7260幅区域样本，涵盖我国北京、上海、深圳、武汉四座城市中的63886个建筑物实例。本数据集的标注文件包含MS COCO 2017格式标注文件，以及与之对应的建筑物二值掩码图像。本数据集可为高分辨率遥感影像中的建筑物检测与提取研究提供基础数据支撑。

搜集汇总

背景与挑战

背景概述

该数据集包含中国四个典型城市（北京、上海、深圳、武汉）的7,260个样本区域，共计63,886个建筑物实例，数据来源于高分辨率遥感图像并经过人工标注，格式为MS COCO 2017和建筑物掩膜二值图，适用于建筑物检测和提取研究。