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.

Explore the evolution of image annotation—from manual labeling to AI automation—powering innovations in healthcare, retail, ...

The Computer Vision and Machine Learning focus area builds on the pioneering work at UB in enabling AI innovation in language and vision analytic sub-systems and their application to the fields of ...

What began as a Ph.D. project has grown into a website with 120,000 unique visitors each year. With the platform OpenML, ...

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.

The increase in precision agriculture has promoted the development of picking robot technology, and the visual recognition ...

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 ...

Image processing is the process of converting an image to a digital format and then performing various operations on it to gather useful information. Artificial Intelligence (AI) and Machine Learning ...

These leading machine vision systems use AI and deep learning to identify objects, recognize patterns, and detect anomalies.

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.

Among the many promising tools within AI, computer vision arguably stands out the most for its ability to create incredible innovations, especially in the medical field. However, before exploring how ...