More articles in Computer Vision

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.

Evaluate Your Model – Metrics for Image Classification and Detection

In this article, we will go through Image Classification and object detection Metrics in depth so that model evaluation becomes easy for you

Detailed Guide to Ensemble Deep Learning in Python

Ensembling is the process of combining multiple learning algorithms to obtain their collective performance. Let's understand it here

How To Add Textual Watermarks To The Images With OpenCv and PIL!

we are going to discover how to attach textual watermarks to an image using OpenCV & PIL to implement various techniques of image manipulations

Build an Image Classifier With SVM!

In this article we are going to learn what is SVM and develop an image classifier with svm. It is a CNN model where the last layer is a SVM

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

All you need to know about Convolutional Neural Networks!

The article shares all you need to know about convolutional neural networks i.e the logic behind it, strides, padding and more.

Create CNN Model and Optimize Using Keras Tuner – Deep Learning