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.

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.

State and local agencies are using computer vision for a wide range of applications, including traffic management, object detection for municipal transportation authorities, drone mapping and facial ...

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

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 ...

Earlier this week Google announced its MobileNets family of lightweight computer vision models. These models can handle tasks like object detection, facial recognition and landmark recognition.

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 ...