Downloads
Blue whale acoustics
March 2022
The goal of this project is to use audio recordings and corresponding annotations to build an automatic classifier for calls from four different species of blue whales, and to estimate the total number of calls from each population in the…
US Broadband Usage Percentages Dataset
May 2021
We are publishing datasets we developed as part of our efforts with Microsoft’s Airband Initiative to help close the rural broadband gap. The data can be used for the purpose of analyzing, understanding, improving, or addressing problems related to broadband…
Building Damage Assessment CNN Siamese
December 2021
A Microsoft AI for Humanitarian Action study in collaboration with the NLRC 510 global initiative. In this study, we leverage high-resolution satellite imagery to conduct building footprint segmentation and train a classifier to assign each building’s damage severity level via…
X-ray Feature Disentanglement
December 2021
An implementation of feature disentanglement/domain adaptation methods for training deep learning models from x-ray imagery.
BankNote-net: Open Dataset for Assistive Currency Recognition
April 2024
Assistive software applications have been developed for a variety of day-to-day tasks, including currency recognition. BankNote-Net is an open dataset for assistive currency recognition.
Lymphoma lesion segmentation DNN
November 2023
Lymphoma lesion segmentation and quantitation plays a pivotal role in the diagnosis, treatment planning, and monitoring of lymphoma patients. Accurate segmentation allows for the precise delineation of pathological regions, aiding clinicians in assessing disease extent and progression. Moreover, lesion quantitation,…
Turkana grid mapping
April 2024
Mapping electrical infrastructure can support measuring access to electricity and can help identify opportunities to improve or extend existing power infrastructure.
Turkana camp roof mapping
April 2024
This project automates the identification of buildings and solar panels in aerial imagery, aiding humanitarian mapping. In many developing regions, maps are often outdated or missing, hindering development planning and disaster response. Our work accelerates the creation of up-to-date maps,…
Solar Farms Mapping
January 2022
The Solar Farms Mapping release is an artificial intelligence dataset for solar energy locations in India – a spatially explicit machine learning model to map utility-scale solar projects across India using freely available satellite imagery.