Bonn Roof Material + Satellite Imagery Dataset

This dataset consists of annotated high-resolution aerial imagery of roof materials in Bonn, Germany, in the Ultralytics YOLO instance segmentation dataset format. Aerial imagery was sourced from OpenAerialMap, specifically from the Maxar Open Data Program. Roof material labels and building outlines were sourced from OpenStreetMap. Images and labels are split into training, validation, and test sets, meant for future machine learning models to be trained upon, for both building segmentation and roof type classification.The dataset is intended for applications such as informing studies on thermal efficiency, roof durability, heritage conservation, or socioeconomic analyses. There are six roof material types: roof tiles, tar paper, metal, concrete, gravel, and glass.Note: The data is in a .zip due to file upload limits. Please find a more detailed dataset description in the README.md<br><br>

本数据集采用Ultralytics YOLO实例分割数据集格式，收录德国波恩市屋顶材料的标注高分辨率航空影像。航空影像数据来源于OpenAerialMap平台，具体取自Maxar开放数据项目(Maxar Open Data Program)。屋顶材料标注与建筑轮廓数据源自开放街道地图(OpenStreetMap)。

数据集将影像与标注划分为训练集、验证集与测试集，可供后续机器学习模型开展建筑分割与屋顶类型分类任务的训练使用。

本数据集可应用于热效率研究、屋顶耐久性分析、遗产保护及社会经济分析等相关场景。数据集共涵盖六种屋顶材料类型：瓦片屋顶、油毡纸屋顶、金属屋顶、混凝土屋顶、碎石屋顶与玻璃屋顶。

注：受文件上传限制，数据集以.zip压缩包形式提供。详细数据集说明请参阅README.md文件。