computer vision

Day 2: 14 Types of Neural Networks and their Applications

1 – Introduction to Neural Networks Artificial intelligence has changed drastically because of neural networks, which are now an important part of various applications. They can be used to solve complex problems and make predictions by mimicking the structure and functioning of the human brain. So, in this article, we will talk about different types…

Mastering Image Contrast: A Step-by-Step Guide to Enhancing Image

In the previous article, we discussed Histogram Equalization and also implemented it in Python. You can read that article on Histogram Equalization here. In this part, we are going to look at how to enhance Image contrast, as well as implement it step-by-step using Python and the OpenCV library. Improving the contrast of an image…

Histogram Equalization: Enhancing Image Quality and Contrast

Histogram equalization is a technique used to enhance the quality and contrast of an image. It is a process of adjusting the intensity values of an image to improve its visual appearance. In this article, we will discuss the concept of histogram equalization, and its benefits, also we will be looking at the implementation in…

5 Key Applications of Computer Vision Technology

Computer vision technology is a rapidly growing field with a wide range of real-world applications. From business to entertainment, from transportation to healthcare, computer vision technology is playing a crucial role in transforming various industries. In this article, we explore five key applications of computer vision technology and how they are revolutionizing entire industries. 1…

5 Ways Computer Vision is Revolutionizing the Manufacturing Industry

The advent of computer vision technology has revolutionized several industries, and the manufacturing sector is no exception. From increasing revenue to reducing costs to improving worker safety, computer vision has transformed manufacturers around the world. In this article, we explore five ways computer vision is changing the manufacturing industry. Automatic Assembly Consumer expectations for quality…

Performing Image Annotation using Python and OpenCV

Introduction Image annotation is a crucial task in the field of computer vision and machine learning. It involves labeling specific features in an image for training models to recognize those features in new images. Python and OpenCV provide a powerful combination of tools for performing image annotation efficiently and accurately. Understanding Image Annotation Image annotation…

5 Tips to Maximize Performance when Working with Image Data in ML

When working with image data in machine learning, achieving optimal performance can be challenging. Fortunately, there are several best practices to follow to maximize model performance. Here are five tips to get you started: 1 – Get More Data One of the easiest ways to increase the accuracy of your image recognition model is to…

How to Build a Convolutional Neural Network for Computer Vision?

In today’s world, computer vision has become an integral part of many industries, including healthcare, retail and automotive. Convolutional neural networks (CNNs) are widely used for computer vision tasks such as image classification, object detection, and segmentation. In this article, we walk you through the process of creating a computer vision CNN with code examples.…

10 Essential Python Libraries for Data Science in 2023

Data Science is a constantly evolving field, and with freshly technologies emerging, it’s important to keep up with the latest tools and libraries. In this article, we’ll discuss 10 essential Python libraries that all data scientist should know in 2023. These libraries will serve you to analyze, visualize, and model data more efficiently, and ultimately…

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Tag: computer vision