Poultry Barn Mapping
A repository for training models from high-resolution aerial imagery and a dataset of predicted poultry barns across the United States.
AI for Good Lab
Advance sustainability
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Solar Farms Mapping
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.
Landcover Orinoquia
AI for Earth project, in collaboration with the Wildlife Conservation Society Colombia (WCS Colombia (opens in new tab)) to create up-to-date land cover maps of the Orinoquía (opens in new tab) region in Colombia. We used a land use and land…
Bird Acoustics RCNN
A deep learning approach towards the large-scale prediction and analysis of bird acoustics from 100 different bird species
Temporal Cluster Matching
An implementation of the temporal cluster matching method (opens in new tab) for detecting change in structure footprints from time series of remotely sensed imagery.
Aerial Wildlife Detection
AIDE: Annotation Interface for Data-driven Ecology – Tools for detecting wildlife in aerial images using active learning
Pytorch-wildlife
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
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
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.