A new field promises to usher in a new era of using machine learning and computer vision to tackle small and large-scale questions about the biology of organisms around the globe.

Called ObjectNet, the set of images present new challenges for existing machine learning systems. The researchers hope that the engineers building computer vision algorithms will use the ...

Computer Vision has the goal of extracting information from images. We will go over the major categories of tasks of Computer Vision and we will give examples of applications from each category. With ...

Before deep learning, creating computer vision algorithms that could process medical images required extensive efforts from software engineers and subject matter experts.

Now Inkbit, a startup out of MIT, is working to bring all of the benefits of 3D printing to a slew of products that have never been printed before — and it’s aiming to do so at high volumes. The ...

3D reconstruction is a longstanding ill-posed problem, which has been explored for decades by the computer vision, computer graphics, and machine learning communities. Since 2015, image-based 3D ...

Cattle identification is emerging as a pivotal aspect of precision livestock farming, with deep learning and computer vision offering robust, non-contact solutions to traditional tagging methods.

Researchers are still puzzling over how animal collectives behave, but recent advances in machine learning and computer vision are revolutionizing the possibilities of studying animal behavior.

Yet The Home Depot is meeting this test head-on by using a mix of machine learning (ML) and computer vision technology to help staff find products for customers quickly and effectively.