More articles in Image Analysis

Understanding Taming Transformers for High-Resolution Image Synthesis

In this article, we will be Understanding Taming Transformers for High-Resolution Image Synthesis using VQGAN and VQ-VAE approaches

Complete guide on How to use Autoencoders in Python

Autoencoder is a particular type of feed-forward neural network. This article is a complete guide to learn to use Autoencoders in python

Face Detection and Recognition capable of beating humans using FaceNet

FaceNet is considered to be a state-of-art model developed by Google. It is based on the inception layer, and explains complete architecture

Make your Images Clearer and Crisper – Denoise Images with Autoencoders

Lets talk about a very popular architecture in deep learning to handle various unsupervised problems: Denoise Images with Autoencoders

Optical Character Recognition(OCR): Tesseract, OpenCV, and Python

Optical Character Recognition (OCR) is a technique of reading or grabbing text from images and convert them into a digital format

Transfer Learning using VGG16 in Pytorch

In this article, we are going to learn about Transfer Learning using VGG16 in Pytorch and see how as a data scientist we can implement it

Text Detection From Images Using EasyOCR: Hands-on guide

EasyOCR is actually a python package that holds PyTorch as a backend handler. Let's learn about extracting text from images using EasyOCR.

Image Processing Using CNN: A Beginners Guide

CNN is a powerful algorithm for image processing. This article is a beginners guide to image processing using CNN & MNIST dataset.Start Reading Now!

End-to-End Computer Vision application with Fastai

Fastai is a deep learning library built as a high-level API on top of the PyTorch framework used to implement model pipeline

Create CNN Model and Optimize Using Keras Tuner – Deep Learning