IEEE

MedAug-Net Powered Hybrid CNN-SVM: A Robust Model for Capsule Endoscopy Image Classification

Abstract: Since capsule endoscopy offers high-resolution, non-invasive imaging of the digestive tract, it has completely changed gastrointestinal diagnostics. However, the necessity for high ...
GitHub

kanishjn/Classification-of-Celestial-Bodies-using-SVM

This project implements a Support Vector Machine (SVM) classifier to identify astronomical objects from SDSS (Sloan Digital Sky Survey) FITS images into three categories: ...
Windows Report

Excel Now Lets You Run Python Code to Analyze Images Within Sheets

Microsoft has just announced a major upgrade to Python in Excel, allowing you to directly analyze and manipulate images within your spreadsheets. The feature is available for Excel on Windows, Mac, ...
Hosted on MSN

Build a Neural Network for Multiclass Classification with Softmax in Python

Discover a smarter way to grow with Learn with Jay, your trusted source for mastering valuable skills and unlocking your full potential. Whether you're aiming to advance your career, build better ...
GitHub

Image Classification with Neural Networks in Python

This project demonstrates image classification using Convolutional Neural Networks (CNNs) in Python with TensorFlow and Keras, trained and tested on the CIFAR-10 dataset. The CIFAR-10 dataset consists ...
IEEE

Multilabel SVM active learning for image classification

Abstract: Image classification is an important task in computer vision. However, how to assign suitable labels to images is a subjective matter, especially when some images can be categorized into ...