Empowering technologies for real-world vision-based systems
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…
This project contains the training code for the Microsoft AI for Earth Species Classification API, along with the code for our API demo page (opens in new tab). This API classifies handheld photos of around 5000 plant and animal species. There…
After developing an algorithm or machine learning model, researchers face the problem of deploying their model for others to consume, integrating it with data sources, securing its access, and keeping it current. Due to these complexities, the vast majority of…
These images and examples are meant to illustrate how to build containers for use in the AI for Earth API system.
This repository provides a code base to evaluate and train models from the paper “Learning Visuomotor Policies for Aerial Navigation Using Cross-Modal Representations”.
Microsoft Hyperlapse Mobile creates smooth and stabilized time lapses from first-person videos using a Windows Phone or Android device.
With this new, intelligent camera app for your iphone, you can enjoy life’s moments instead of struggling to capture them.
