Category: Computer Vision
Naveen Pandey5 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…
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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.…
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10 Common Data Science Interview Questions and How to Answer Them?
Data science has become a very competitive field and it is important to prepare for data science interviews if you are looking for your dream job. As part of the interview process, you can expect to be asked a number of questions to assess your knowledge, skills and experience in the field. In this blog…
Read MoreComprehensive Guide to Sobel Edge Detection with Examples
Edge detection is a critical operation in image processing, it is used to identify boundaries between the objects or regions in an image. In this article we are going to discuss about the Sobel Edge Detection method. What is Sobel Edge Detection? Sobel Edge Detection is a first-order derivative edge detection method that was developed…
Read MoreComprehensive Guide to Canny Edge Detection with Examples
Edge detection is a critical operation in image processing, it is used to identify boundaries between the objects or regions in an image. There are several methods for edge detection, but one of the most widely used is the Canny Edge Detection method. What is Canny Edge Detection? Canny Edge Detection is a multi-stage edge…
Read MoreComputer Vision Interview questions
1. What is computer vision? Computer vision is a field of artificial intelligence that involves the development of algorithms and systems that can analyze, interpret, and understand visual data from the world around us. 2. What are the main applications of computer vision? Computer vision has a wide range of applications, including image and video…
Read MoreWhat are the two types of image classification method?
Image classification is the process of assigning a label to a given image, such as “cat”, “dog”, or “tiger”. There are two main types of image classification methods: Supervised Classification The supervised classification technique is based on the idea that a user can select specific pixels from an image to become a focal point for…
Read MoreWhat is object detection?
Machine Learning is a powerful, but often misunderstood technology. It’s best known for its applications in the computer vision field, but can be applied to any industry. One of the more common uses is for automatic pedestrian and car detection in footage from surveillance systems and factory video feeds. Object detection is a deep learning…
Read MoreAutomatic Number Plate Recognition Project
In recent years, automatic license plate recognition or license plate recognition has become one of the useful approaches for vehicle surveillance. This article presents an automatic license plate recognition project using OpenCV and EasyOCR. Traffic control and vehicle owner identification have become major problems in all countries. It can be difficult to identify the owner of a speeding vehicle that violates the road rules. Therefore, due to the speed of the vehicle, traffic personnel may not be able to obtain the vehicle number of the moving vehicle, so such…
Read MoreCounting Objects in An Image
Counting objects in an image is the job of computer vision. There are many Python computer vision libraries available for this task. However, this article describes a very simple approach to counting objects in images using Python. How to count objects in an image using Python? Counting objects in an image is a computer vision task. There are many image processing libraries available for this task. B. OpenCV, TensorFlow, PyTorch, Scikit-image, and cvlib. You probably haven’t heard much about Python’s cvlib library. This is a very simple, advanced, and easy-to-use…
Read MoreComputer Vision for Beginners – Part 5
What is Edge detection? Edge detection is a computer vision technique that uses the edges of an image to find and extract objects. It is widely used in a variety of fields such as photography, video and computer vision. it is used in many ways in computer vision, including image segmentation, which divides an image…
Read MoreComputer Vision for Beginners – Part 4
In this article, I will be discussing about various algorithms of image feature detection, description using OpenCV. Introduction What do humans typically do when they see the image? He will be able to recognize the faces which are there inside the images. So, in a simple form, computer vision is what allows computers to see…
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