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High Resolution Population Density Maps Training Dataset

This training data consists of 10M labels for over 126 gigabytes of satellite imagery and includes human labels indicating if a building is present.

About Dataset

These labels were created on satellite imagery dating from 2011 – 2020; however, even labels made on older imagery are useful to train the next generation of machine vision models to more accurately identify buildings in a range of land-cover environments.

Data hosted in AWS Public Datasets is optimized for large-scale programmatic usage via Amazon S3 and Athena.

These high-resolution maps estimate the number of people living within 30-meter grid tiles in nearly every country around the world. Additionally, our datasets provide insights on the distribution of certain populations within each country, including the number of children under five, the number of women of reproductive age, as well as young and elderly populations, at unprecedentedly high resolutions. To use High-Resolution Settlement Layer (HRSL) population maps distributed as an AWS public dataset, try simple and fast database-style SQL queries using Amazon Athena from your AWS account. Amazon Athena is an interactive query service that makes it easy to analyze data directly in Amazon Simple Storage Service (Amazon S3) using standard SQL. With a few actions in the AWS Management Console, you can point Athena at your data stored in Amazon S3 and begin using standard SQL to run ad-hoc queries and get results in seconds. Athena is serverless, so there is no infrastructure to set up or manage, and you pay only for the queries you run. Table setup and initial test queries should take no more than 5 minutes.

Important Notes

The datasets are intended for general informational purposes only and should not be used for any commercial or navigational purposes.

We strive to provide accurate and up-to-date information, but we cannot guarantee the accuracy or completeness of the datasets.

We fully respect the territorial integrity of India and acknowledge its sovereignty over all its territories. However, due to limitations in access and data collection, some of our datasets do not cover certain territories.

Disclaimer

Meta makes no representation or warranty, express or implied, including without limitation, any warranties of fitness for a particular purpose or warranties as to the quality, accuracy or completeness of data or information. By accessing this data, researchers acknowledge that the data may contain some nonconformities, defects, or errors. Meta does not warrant that the data will meet the researcher's needs or expectations, that the use of the data will be uninterrupted, or that all nonconformities, defects, or errors can or will be corrected.