Building footprints Oldenburg derived from aerial imagery

This data set contains about 78000 georeferenced polygons representing all building footprints within the administrative boundaries of the city of Oldenburg, Lower Saxony, Germany. These geometries were created by a deep learning-based image segmentation. The model for this was trained at the State Office of Lower Saxony for Geoinformation and Surveying (LGLN).

We publish this data under the CC0 license. You can do whatever you want with it. There are no restrictions.If you do something great with the data set, we'd love to hear about it: [e-mail] you use this dataset, you are welcome to reference it - but you don't have to.Would you like builiding footprints for another area? We'd love to hear about it.

本数据集包含约78000个带地理坐标的多边形（georeferenced polygons），涵盖德国下萨克森州奥尔登堡市行政边界内的全部建筑基底轮廓（building footprints）。上述几何图形由基于深度学习的图像分割方法生成，所用模型由下萨克森州地理信息与测量局（State Office of Lower Saxony for Geoinformation and Surveying，缩写LGLN）训练完成。
本数据集以CC0协议发布，您可对其进行任意操作，无任何使用限制。若您基于该数据集取得了优秀的应用成果，欢迎通过邮箱[e-mail]与我们分享。若您使用本数据集，可选择引用该数据集，但并非强制要求。若您需要其他区域的建筑基底轮廓数据，欢迎随时与我们联系。