Learn how computer vision can locate and identify different objects in an image, what are the main challenges and techniques involved, and some examples of object detection in action.

Object detection and segmentation are two important tasks in computer vision that aim to locate and classify objects in an image or a video. They have many applications, such as face recognition ...

Using kernel matrixes and other video image processing filters to detect and track objects; simply put, the computer vision techniques we'll use will be for removing the background from images and ...

This project implements an object detection model to identify specific icons in images. It uses a Faster R-CNN architecture with ResNet50 backbone for detecting and classifying icons (iron, wood, ...

Computer Vision is a concept which works with the methods for automatic extraction, analysis and understanding of useful information from a single image or a sequence of images. To fulfill the new ...

Object detection is a crucial task in computer vision which makes a machine capable of sensing and locating objects in an image or video. This technology is embedded in a wide range of applications, ...

Abstract: Using OpenCV, this research compares the performance of deep learning with standard computer vision approaches for detecting object in photos and videos. Recognizing and localizing objects ...

Introduction Computer vision could be a valuable tool in medicine to track objects during a procedure. In an operating theatre computer vision could be used to track and monitor the use of surgical ...

For example, in the image below, the computer vision model can identify the object in the frame (a scooter), and it can also track the movement of the object within the frame. How Computer Vision ...

Object detection, a fundamental task in computer vision, has witnessed significant evolution over the years. From traditional methods with manual feature extraction to modern deep learning models, ...