This project demonstrates image segmentation using the K-Nearest Neighbors (KNN) algorithm in Python. The project utilizes the OpenCV library for image processing tasks. To use the image segmentation ...

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 ...

I had worked on an image classification project using SVM it worked best compared to other models such as Logistic regression, KNN and Random Forest. Accuracy was ~83%.

A brain tumor is the topmost dangerous disease that can be a cause of death in humans. Machine learning tools are generally used for medical science brain tumor detection and classification. Although ...

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 ...