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.

Object detection is one of the three basic tasks in the field of computer vision. The VOC2012 comp3 challenge has been one of the fiercest PASCAL VOC competitions, due to the diversity of target ...

McKinsey reports that computer vision ranks second among all other ... and replace individual components of marine structures. Object detection, position estimation and path planning algorithms ...

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.

Those display frames are then run through a computer vision-based object detection algorithm like You Only Look Once (YOLO) that has been trained to find human-shaped enemies in the image (or at ...

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 ...

Given computer vision’s place as the cornerstone of an increasing ... The emergence of CNN-based neural networks began supplanting traditional CV techniques for object detection and recognition.

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 ...