This repo contains the code to perform a simple image classification task using Python and Machine Learning. We will apply global feature descriptors such as Color Histograms, Haralick Textures and Hu ...

Decision trees are a popular supervised learning method for a variety of reasons. Benefits of decision trees include that they can be used for both regression and classification, they are easy to ...

In this article, you learn how to use Python, TensorFlow, and Azure Functions with a machine learning model to classify an image based on its contents. Because you do all work locally and create no ...

This repository contains implementation and evaluation scripts for various pre-trained deep learning models applied to binary classification of cats and dogs using transfer learning on a balanced ...

First, if you are wondering what evaluation metrics are, please take a look here. I will explain evaluation metrics further below, but this should help you get an idea. In machine learning and deep ...

In today’s world, data plays a vital role in every industry vertical. Images can be one of the sources of extracting data. An image can be defined as a matrix of pixels, and each pixel represents a ...

Zero-shot image classification is a task that involves classifying images into different categories using a model that was not explicitly trained on data containing labeled examples from those ...