.lazyload-placeholder { display: none; } Data augmentation has, for a long while, been serving as a means of replacing a "static" dataset with transformed variants, bolstering the invariance of Convolutional Ne...Learn More

.lazyload-placeholder { display: none; } Introduction When developing web applications with React, we typically want to include visual elements to capture the users' interest. These visual elements could be any...Learn More

Introduction Deep Learning models are very versatile and powerful - they're routinely outperforming humans in narrow tasks, and their generalization power is increasing at a rapid rate. New models are being rel...Learn More

Save Plot as Image with Matplotlib Introduction Matplotlib is one of the most widely used data visualization libraries in Python. Matplotlib plots and visualizations are commonly shared with others, be it throu...Learn More

Working with Images in Node.js - GraphicsMagick and ImageMagick Introduction As images have become an integral part of the web, the need for image processing becomes ever-present. There are various libraries an...Learn More

Working with PDFs in Python: Adding Images and Watermarks This article is the second in a series on working with PDFs in Python: Reading and Splitting Pages Adding Images and Watermarks (you are here) Insertin...Learn More

Autoencoders for Image Reconstruction in Python and Keras Introduction Nowadays, we have huge amounts of data in almost every application we use - listening to music on Spotify, browsing friend's images on Inst...Learn More

Affine Image Transformations in Python with Numpy, Pillow and OpenCV In this article I will be describing what it means to apply an affine transformation to an image and how to do it in Python. First I will dem...Learn More

Introduction to Image Processing in Python with OpenCV Introduction In this tutorial, we are going to learn how we can perform image processing using the Python language. We are not going to restrict ourselves ...Learn More

Image Recognition in Python with TensorFlow and Keras Introduction One of the most common utilizations of TensorFlow and Keras is the recognition/classification of images. If you want to learn how to use Keras ...Learn More

Image Classification with Transfer Learning and PyTorch Introduction Transfer learning is a powerful technique for training deep neural networks that allows one to take knowledge learned about one deep learning...Learn More

Android Convert Image to Base64 String or Base64 String to Image In this tutorial you will learn how to convert image to base64 string or base64 string to image in android. Base64 is an encoding schema that rep...Learn More