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In this video on Object Detection Using OpenCV Python, we will learn how to create an Object detection system using the OpenCV Python library. This Object Detection OpenCV Tutorial will help you to understand what object detection is and what OpenCV is, followed by a hands-on lab demo in which we will detect an object from an image, video, and live webcam demo using the OpenCV python library.

00:00 Object Detection Using OpenCV Python
02:14 What is OpenCV?
02:59 What is Object Detection?
03:35 Hands-on-lab-demo

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What is OpenCV?

OpenCV is a free and open-source software library for computer vision and machine learning. It is written in C++, although it provides bindings for several programming languages, including Python, Java, and MATLAB.
The purpose of OpenCV was to provide a common foundation for computer vision applications and to speed up the usage of machine perception in commercial goods.

What is Object Detection?

Object detection is a computer vision mechanic that involves identifying and localizing objects of interest within an image or a video. It is a challenging task as it involves not only recognizing the presence of an object but also detecting its precise location and size within the image or video.
Object detection algorithms typically use deep learning techniques, such as CNN, to analyze the image or video and identify objects. These algorithms can also determine the boundaries of the objects by drawing a bounding box around them.

Object detection is widely used in a variety of applications, such as autonomous vehicles, surveillance systems, and medical imaging. It is also used for tasks such as face detection, pedestrian detection, and traffic sign recognition.

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