Object detection and recognition are an integral part of computer vision systems. In computer vision, the work begins with a breakdown of the scene into components that a computer can see and analyse.

Digital systems are expected to navigate real-world environments, understand multimedia content, and make high-stakes ...

The study shows that the new method speeds detection up considerably ... researchers trained their computer vision algorithms on a data set of 975 images of mine-like objects.

In this article, we will discuss how to apply computer vision technology ... finding objects in space is not enough. We have to identify the type of object (Object Detection), as well as how ...

In this post, I will briefly review the deep learning architectures that help computers detect objects. One of the key components of most deep learning–based computer vision applications is ...

It continues to push the boundaries of what is possible in computer vision." Most of what people see -- and what cameras detect -- comes from light that reflects off an object and bounces directly ...

The object detection required ... directions for machine vision, including cloud computing to scale deep-learning solutions, automated ML architectures to improve the ML pipeline, transformer ...

Just making a small tweak to algorithms typically used to enhance images could dramatically boost computer vision recognition capabilities ... Figure 1: Self-driving cars could benefit from enhanced ...