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…
Microsoft AI for Earth Species Classification API
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…
Computer Vision Group
The Computer Vision Group conducts research in areas spanning AI, Machine Learning, Computer Vision, and Computational Photography. Our mission is to conduct state of the art foundational research and to create technologies that empower the…
Azure Florence
Of the five senses, our vision system is the one humans rely on most, so it it no surprise that developing a computer system possessing the same visual intelligence is so challenging but also so…
Project Florence-VL
Microsoft Azure Florence-VL aims to develop state-of-the-art vision-language learning technologies to endow computers with an ability to effectively learn from multi-modality data.
Physical Manipulation
Physical Manipulation projects explore ML methods and systems that use purposeful interaction with the physical world to learn how to perceive, reason and act in the real world. Physical manipulation is intrinsically connected to robotic…
Land Cover Orinoquia
This AI for Earth project, in collaboration with the Wildlife Conservation Society Colombia (WCS Colombia (opens in new tab)) was developed to create up-to-date land cover maps of the Orinoquía (opens in new tab) region…