DoriaNET: A visual dataset from Hurricane Dorian for post-disaster building damage assessment
收藏资源简介：
DoriaNET is a synthetic dataset for unmanned aerial vehicle (UAV)-based post-hurricane building damage assessment. DoriaNET consists of damage state annotations in accordance with FEMA Hurricane Model HAZUS-MH MR3 Manual. For each building, a damage state is manually assigned by closely matching the quantitative damage description of that building. Overall, DoriaNET provides the following information: (1) global coordinates (latitude and longitude) of each building appearing in the aerial footage; (2) local coordinates with pixel-level building boundaries (masks) in video frames; (3) wind-induced damage state for each building in accordance with FEMA Manual; (4) number of stories; and (5) an ordinal score representing damage annotation effort (easy, moderate, or difficult) for each labeled building.
多丽亚数据集（DoriaNET）是一款面向基于无人机（unmanned aerial vehicle, UAV）的飓风后建筑损毁评估任务的合成数据集。该数据集的损毁状态标注严格遵循美国联邦紧急事务管理局（Federal Emergency Management Agency, FEMA）飓风模型HAZUS-MH MR3手册。针对每一栋建筑，标注人员均通过细致比对该建筑的量化损毁描述，人工赋予其损毁状态标签。总体而言，DoriaNET包含以下五类信息：(1) 航拍素材中每栋建筑的全球坐标系坐标（纬度与经度）；(2) 视频帧中带有像素级建筑边界掩码（mask）的局部坐标系坐标；(3) 遵循FEMA手册标准的每栋建筑风致损毁状态；(4) 建筑楼层数；(5) 用于表征每栋标注建筑损毁标注工作量的序数评分，分为简单、中等、困难三个等级。
