We will provide an example of how you can get the image labels using the AWS Rekognition. If you are ... Read moreObject Detection with Rekognition on Images

Rekognition with Console Amazon Rekognition gives us the chance to recognize celebrities in images and videos. For our example, I ... Read moreExample of Celebrity Rekognition with AWS

How Do I Get Started with Image Classification? In this article, we’ll help you choose the right tools and architectures for your first Image Classification project. We’ll recommend some of the best programming tools and model architectures available for classification problems in computer vision. Image classification is subjected ...

For a year now, this course on Bayesian statistics has been on my to-do list. So without further ado, I decided to share it with you already. Richard McElreath is an evolutionary ecologist who is famous in the stats community for his work on Bayesian statistics. At the Max Planck ...

In a previous post, we showed how to interact with S3 using AWS CLI. In this post, we will provide ... Read moreA Basic Introduction to Boto3

This article was written by Rosana de Oliveira Gomes, Lead Machine Learning Engineer at Omdena, and Joseph Itopa A, Junior Machine Learning Engineer at Omdena. Transitioning into a new career can feel like boarding a plane that’s already taking off. Th...

If you are familiar with ggplot2 in R, you know that this library is one of the best-structured ways to ... Read moreggplot2 In Python using Plotnine

What is Transfer Learning? Transfer Learning (TL) is one of the most powerful methods for building high-performance deep learning models in computer vision. TL is based on the knowledge-reusability concept – one can use knowledge from one area and apply it to another. By leveraging previous experience, you don’t need ...

Sometimes, while working with the Jupyter notebook you need to create a file, like a .py file. Today we will ... Read moreHack: How to Create files from Jupyter