Rural Home Annotation Dataset Mapped by Citizen Scientists in Satellite Imagery.

DATA IN BRIEF(2022)

引用 1|浏览12
暂无评分
摘要
This article presents a geolocated dataset of rural home annotations on very high resolution satellite imagery from Uganda, Kenya, and Sierra Leone. This dataset was produced through a citizen science project called "Power to the People", which mapped rural homes for electrical infrastructure planning and computer-vision-based mapping. Additional details on this work are presented in "Power to the People: Applying citizen science to home-level mapping for rural energy access" [1]. 578,010 home annotations were made on approximately 1,267 km2 of imagery over 179 days by over 6,000 volunteers. The bounding-box annotations produced in this work have been anonymized and georeferenced. These raw annotations were found to have a precision of 49% and recall of 93% compared to a researcher-generated set of gold standard annotations. Data on roof colour and shape were also collected and are provided. Metadata about the sensors used to capture the original images and the annotation process are also attached to data records. While this dataset was collected for electrical infrastructure planning research, it can be useful in diverse sectors, including humanitarian assistance and public health.
更多
查看译文
关键词
Citizen science, Remote sensing, Geographic information systems, Online participation, Satellite mapping, Computer vision, Object detection
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要