Towards equitable access to information and opportunity for all: mapping schools with high-resolution Satellite Imagery and Machine Learning.

Zhuangfang Yi, Naroa Zurutuza, Drew Bollinger, Manuel García-Herranz, Dohyung Kim

Abstract: Having accurate data about schools is key for organizations to provide quality education and promote lifelong learning, listed as UN sustainable development goal 4 (SDG4), ensure equal access to opportunity (SDG10) and eventually, reduce poverty (SDG1). However, this is a challenging task since educational facilities' records are often inaccurate, incomplete or non-existent. By leveraging machine learning and high-resolution imagery, we are able to determine school detection at the national scale. Infant-Prints: Fingerprints for Reducing Infant Mortality