This project aims to apply three digital signal and image classification management techniques: Mono-Dimensional signal classification, Bi-Dimensional signal classification and the development of a Deep Convolutional GAN.

This is an example Convolutional Neural Network ML model as a solution for various Classification use cases!

An image classifier that detects and highlights deforestation areas using k-nearest neighbors.

This project focuses on building a powerful image classification model to distinguish between cats and dogs using a Convolutional Neural Network (CNN)

Computer vision : Object detection from image and cropping object images

Usable code for testing the LFA. The LFA (Lung Finder Algorithm) is a new technique proposed for the normalization of the region of interest (the lungs) in chest radiographs.

A Python package for Remote Sensing Data Analysis

Service in Node JS to classify images

ML project for recognizing and classifying celebrity images

Make image classification of the concrete, whether it is crack or not. Image Classification

HaarCascade simple example

Retrain a pre-trained Neural Network to recognize Images

Pre-trained VGG-Net Model for image classification using tensorflow

MACHINE LEARNING | Android Camera application to classify images

A comparative study between 5 different binary classification techniques.

Domain adaptation networks for digit recognitioning