The Planetary Computer

Accelerating environmental sustainability and Earth science on the cloud.


APIs

AI for Earth APIs allow application developers to accelerate their conservation applications with machine learning.

Camera Trap Image Processing

The Camera Trap Image Processing API accelerates camera trap surveys by separating images into four categories: animal, person, vehicle, empty. Two versions of the API are available: a batch processing API (for offline surveys with millions of images) and a real-time API (primarily for anti-poaching applications).

Request an API key Learn more about Camera Trap tools

Species Classification

The Species Classification API enables developers to leverage deep learning models for recognizing plants and animals.

Request an API key

Species Classification demo

Try Species Classification demo

Species Classification notebook

Go to Species Classification notebook

Species Classification docs

Go to Species Classification docs

Species Classification code

Explore Species Classification code

Open-source code

We are committed to making our work available for others to build on, by releasing code and trained models on GitHub.

Explore AI for Earth on GitHub

Research

In addition to the research we support through our grants program, we work with collaborators in Microsoft Research to drive innovation in environmental science. Explore these AI for Earth projects at Microsoft Research.

*Magpie goose taking off; photo by Djambalawa, provided under Creative Commons.