OpenCV Projects for Real-World Applications: 8 Practical Examples to Get You Started
OpenCV is an open-source computer vision library that is widely used for analyzing and processing images. It provides a wide variety of algorithms for image processing, such as object detection, background removal, and image segmentation. OpenCV is used in a variety of real-world applications, from facial recognition to robotics and medical imaging. In this article, we will look at 8 practical OpenCV projects that you can start working on to get more familiar with the library. 1. Object Detection: Object detection is an important task in computer vision. OpenCV provides tools for detecting objects in images and videos. It can be used to detect faces in an image, identify objects in a scene, and classify objects in a video. OpenCV also provides a way to train your own object detection model so that you can customize it to your specific needs. 2. Image Classification: Image classification is the process of categorizing an image into a certain set of categories. OpenCV provides a v...