Satellite Image Classification Using Convolutional Neural Networks This effort searches extensively for cloud, desert, green, and water images by CNN-based satellite photo classification. Kaggle ...

White Blood Cell Classification is a deep learning project built with Python, TensorFlow, and Keras that classifies five types of WBCs from microscopic images using a CNN model. With advanced image ...

In this research, we present a Python implementation using TensorFlow to employ the (ViT) model for image classification. Four categories of animals such as (cow, dog, horse and sheep) images will be ...

The main reason for using OCT is its ability to provide a cross-sectional retinal image with high resolution. Such high-resolution images of biological tissues allow CNN to extract features that ...

In this repository, I put into test my newly acquired Deep Learning skills in order to solve the Kaggle's famous Image Classification Problem, called "Dogs vs. Cats". This repository contains code for ...

Fashion is the way we present ourselves which mainly focuses on vision, has attracted great interest from computer vision researchers. It is generally used to search fashion products in online ...