Today, many applications use object-detection networks as one of their main components. It’s in your phone, computer, car, camera, and more.

YOLO (You Only Look Once): A real-time object detection algorithm known for its rapid processing speed and high detection accuracy, particularly useful in industrial inspection applications.

An overview of deep learning architectures that help computers detect objects, a key technology used in self-driving cars and healthcare.

Deep learning hasn't (yet) rendered classical computer vision obsolete. Why some challenges are still best solved with traditional algorithms.

Duration: 4h In this module, you will learn about the field of Computer Vision. Computer Vision has the goal of extracting information from images. We will go over the major categories of tasks of ...

Bolstering the safety of self-driving cars with a deep learning-based object detection system Date: December 12, 2022 Source: Incheon National University Summary: Self-driving cars need to ...

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.

AI’s revolution lies in the integration of automation, big data, computer vision and deep learning, forming the essential ABCD pillars that are reshaping lives.

The proposed method is based on the VarifocalNet deep-learning object detection framework, which is a method aimed at accurately ranking a huge number of candidate detections in object detection.