Ian Goodfellow introduced Generative Adversarial Networks (GAN) in 2014. It was one of the most beautiful, yet straightforward implementations of Neural Networks,…

In machine learning (ML), if the situation when the model does not generalize well from the training data to unseen data is…

Image processing is a method to perform operations on an image to extract information from it or enhance it. Digital image processing…

To stay on top of the latest trends in machine learning, you need to be fast. Things change quickly and round the…

PIL stands for Python Image Library. In this article, we will look at its fork: Pillow. PIL has not been updated since…

According to IDC, digital data will skyrocket up to 175 zettabytes, and the huge part of this data is images. Data scientists…

Image processing is a very useful technology and the demand from the industry seems to be growing every year. Historically, image processing that…

Image retrieval is the task of finding images related to a given query. With content-based image retrieval, we refer to the task…

I’ve been working with object detection and image segmentation problems for many years. An important realization I made is that people don’t…

Imagine if you could get all the tips and tricks you need to hammer a Kaggle competition. I have gone over 39…

In this piece, we’ll take a plunge into the world of image segmentation using deep learning. We’ll talk about: what image segmentation…