Deep learning has been recently shown to improve performance in the domain of synthetic aperture sonar (SAS) image classification. Given the constant resolution with a range of SAS, it is no surprise ...

Methods: Recent advancements in deep learning have significantly improved medical image analysis, demonstrating superior predictive performance in breast cancer detection using ultrasound images.

Deep learning has emerged as a powerful method for hyperspectral image (HSI) classification. However, a significant prerequisite for HSI classification using deep learning is enough labeled samples, ...

Image recognition has become a cornerstone of modern technology, transforming industries like healthcare, retail, automotive, and security. Deep learning techniques enable machines to recognize, ...

This research introduces an innovative approach to image classification, by making use of Vision Transformer (ViT) architecture. In fact, Vision Transformers (ViT) have emerged as a promising option ...

This project demonstrates how to build an image classification model using Convolutional Neural Networks (CNNs) to classify images into predefined categories. It covers data preprocessing, model ...

For each training run, the included samples from all datasets were randomly shuffled, and split into training, validation and holdout test sets, with splits of 0.8, 0.1, and 0.1 respectively. 2.4.

Image source In the above image, we can see the procedure we are required to follow. In this article, we are going to discuss how we can perform all these steps using the Keras library. For this ...