<b>GF-7 Building: A benchmark dataset for building extraction from satellite images</b>

This study constructs a high-resolution (0.65 m) GaoFen-7 (GF-7) Building dataset utilizing the Chinese GF-7 imagery from Tianjin, Lanzhou, Chongqing, Ningbo, Guangzhou, and Shenzhen. The dataset comprises 5175 pairs of 512×512 image tiles (including 3106 pairs in the training set, 1034 pairs in the validation set, and 1035 pairs in the test set), totally covering an area of 573.17 km² in China. It contains a total of 170,015 buildings, out of which 145,327 buildings (84.8%) are distributed in urban areas, while the remaining 24,688 buildings (15.2%) are distributed across rural areas. These high-quality labels are mainly generated through manual digitization.本研究基于中国天津、兰州、重庆、宁波、广州、深圳等地的高分七号（GaoFen-7, GF-7）遥感影像，构建了分辨率为0.65米的高分七号建筑数据集。该数据集包含5175组512×512的影像切片对，其中训练集3106组、验证集1034组、测试集1035组，总覆盖中国境内面积达573.17平方千米。数据集中共标注170015栋建筑，其中145327栋（占比84.8%）分布于城区，剩余24688栋（占比15.2%）分布于乡村区域。该数据集的高质量标注主要通过人工数字化作业完成。