Category: Python

Basically, Image Segmentation is an image processing technique. Significantly, it is an important part of object detection. In the case of object detection, it is required to partition an image. So, all the objects that the given image contains can be separated. Once we separate all parts of the image it becomes easier to analyze it. Applications of Image Segmentation The following list provides some of the applications where we can use image segmentation. In the case of …

Basically, ImageNet is a visual image dataset that contains a large number of images. In fact, the dataset contains more than 14 million images of over 22000 categories. Specifically, this dataset is created for solving computer vision problems. It is used for object recognition and the images that it contains are manually labeled. Applications of ImageNet In the first …

In this article on Image Contrast Enhancement using Histogram Equalization, I will explain the significance of Histogram Equalization. Basically, Histogram Equalization is an image processing technique. A histogram represents the intensity distribution of an image graphically. Therefore, it contains the quantified value of the number of pixels representing each intensity value. Accordingly, Histogram Equalization (HE) broadens the …

In this post on Transfer Learning and its Applications, I will explain the concept and applications of Transfer Learning. To begin with, Transfer Learning is a type of Machine Learning that doesn’t build the model from scratch. Understanding the Use of Transfer Learning and its Applications in various Domains Basically, Transfer Learning is a technique …

This article provides an introduction to OpenCV Library in Python and demonstrates some examples of using this library. In fact, OpenCV (Open Source Computer Vision) is a cross-platform library. Also, it works on both images and videos. In the case of the Python programming language, the OpenCV library is available with the cv2 package. The cv2 package contains methods …

Today I will show some examples of Tuples in Python. Basically, a tuple is a collection of values. Unlike a list, a tuple is immutable. Also, the values in a tuple are separated by a comma. Therefore, if a tuple contains a single value, a comma should be there after the value. Moreover, a tuple …

The Python List Practice Exercise given below consists of simple programs on python lists. Basically, a list is a data structure in python that contains multiple elements. Moreover, all elements in a python list need not be of the same data type. Further, the values in a list are not unique. In other words, we …

In this post on Understanding Blockchain Concepts, I will explain what is blockchain and its application. What is a Blockchain? Basically, a blockchain is a distributed database. Significantly, Decentralization and Scalability are the two most important features of a Blockchain. As the name suggests, a Blockchain is a chain of blocks with each block containing …

In this post on Edge Detection Using OpenCV, I will explain an important image processing function known as edge detection. Basically, edge detection results in a new image that contains the outlines or edges of the given image. Canny Edge Detection Method Basically, Canny Edge Detection is a step-by-step procedure that requires the image to …

In this post on Predicting with Time Series, I will explain how to build a Time Series model for predictions and Forecasting. To begin with, let us first understand the concept of Time Series and Time Series Analysis. What is a Time Series? In short, a Time Series spreads a sequence of data points over …