Machines are rapidly gaining the ability to perceive, interpret and interact with the visual world in ways that were once purely science fiction.

Image segmentation is a process in computer vision that involves dividing an image into multiple segments or regions, each representing a specific object or area of interest.

From super-resolution smartphone cameras to vehicles that can anticipate human movement, computer vision is undergoing a transformation—and AI is at its core. As deep learning continues to ...

AI and computer vision tech is poised to take us in directions we can barely imagine. The utility industry is in the early stages of using AI and computer vision solutions and already finding it ...

Computer vision is transforming AI by enabling machines to "see" and interpret visual data, driving advancements in medical imaging, autonomous vehicles, and traffic monitoring.

Given computer vision’s place as the cornerstone of an increasing number of applications from ADAS to medical diagnosis and robotics, it is critical that its weak points be mitigated, such as the ...

In biomedicine, segmentation involves annotating pixels from an important structure in a medical image, like an organ or cell. Artificial intelligence models can help clinicians by highlighting ...

On LinkedIn, as on Reddit, Florence-powered services will generate captions to edit and support alt text image descriptions. In Microsoft Teams, Florence is driving video segmentation capabilities.

Landing AI's new Visual Prompting feature makes it easy for users to develop new computer-vision applications.