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.

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 ...

(AI) and computer science that enables automated systems to see, i.e. to process images and video in a human-like manner to detect and identify objects or regions of importance, predict an ...

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 ...

A computer vision system will determine different ... Here, convolutional neural networks come into play. They help detect and segment objects of the needed classes in the photos," said the ...