AI For Good Lab
Harnessing AI to help solve some of the world’s greatest challenges
도구
TorchGeo
12월 2021
TorchGeo is a PyTorch domain library, similar to torchvision, that provides datasets, transforms, samplers, and pre-trained models specific to geospatial data. The goal of this library is to make it simple: for machine learning experts to use geospatial data in their workflows, and…
Aerial Wildlife Detection
11월 2021
AIDE: Annotation Interface for Data-driven Ecology – Tools for detecting wildlife in aerial images using active learning
US Broadband Usage Percentages Dataset
5월 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…
Pytorch-wildlife
9월 2020
At the core of our mission is the desire to create a harmonious space where conservation scientists from all over the globe can unite. Where they’re able to share, grow, use datasets and deep learning architectures for wildlife conservation. We’ve…
Multi-species Bioacoustic Classification
9월 2020
Multi-species bioacoustic classification using deep learning algorithms. With audio recordings collected from rainforests in Puerto Rico, we build a deep learning model that combines transfer learning and pseudo-labeling as a data augmentation technique to: 1) train a deep convolutional neural…
Land Cover Mapping
7월 2020
Part of the AI for Earth Land Cover Mapping project, this repository holds both the frontend web-application and backend server that make up our “Land Cover Mapping” tool.
Beluga Sounds
4월 2020
Using machine learning to detect beluga whale calls in hydrophone recordings. Of the five populations of beluga whales in Alaska, the Cook Inlet population is the smallest and has declined by about seventy-five percent since 1979. Listed as an endangered…
Arctic Seals
6월 2018
A deep learning project in cooperation with the NOAA Marine Mammal Lab to detect & classify arctic seals in aerial imagery to understand how they’re adapting to a changing world.