In the field of image classification, while algorithms perform well at recognizing objects, understanding their decision-making processes remains challenging and limiting the applicability in critical ...

The proposed model has four main steps, namely, preprocessing, segmentation, feature extraction, and classification. Initially, the input SAR image is pre-processed using a histogram equalization ...

This repository contains code for a binary image classification model to detect pneumothorax using the ResNet-50 V2 architecture. It includes essential steps such as dataset splitting, image ...

CIFAR-10 problems analyze crude 32 x 32 color images to predict which of 10 classes the image is. Here, Dr. James McCaffrey of Microsoft Research shows how to create a PyTorch image classification ...

However, social images are special multi-label images. social image classification still has a lot of space for improvement. In one aspect, we find that many methods using CNN networks for ...

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 ...