This repository contains a dataset comprising real-life performance data of new employees, encompassing demographic information and test scores. The dataset serves as a fundamental resource for machine learning assignments within the context of the Applied linear Algebra for Machine learning course.

Computer Vision and Image Processing Module Assignment

😎 Finding duplicate images made easy!

Java code to apply apply statistical functions on images

Big data and image processing project

CenOTAPH: COlour and Texture Analysis toolbox for PytHon

House price estimation from visual and textual features using both machine learning and deep learning models

Hyperspectral Image Denoising using Attention and Adjacent Features Extraction Hybrid Dense Network

Deep learning segmentation approaches to enforce temporal consistency in echocardiography sequences in collaboration with Physense Research Group from UPF.

Keras implementation of the Yahoo Open-NSFW model

Airplane, Ship, Vehicle Detection on Satelite Imagery

This repository contains all the files of the project OCR for Telugu.

This program enables real-time face recognition for attendance marking. It uses a webcam or video input to detect and recognize faces in real-time. When a recognized face is identified with sufficient accuracy, the corresponding name is recorded in an attendance file named Attendance.csv, along with the timestamp of the recognition.

Preprocessing the images and saving them in a specific directory with python

In the project, it is related to the identification of radiological photographs in which tuberculosis patients are diagnosed. Among the main challenges in this project are data imbalance and data preprocessing and implementing deep learning models to solve it.

POSTECH Institute of Artificial Intelligence Intern Program

SnapCuisine is a powerful tool that utilizes power of Natural Language Processing (NLP) techniques and Convolution Neural Network (CNN) to analyse and predict the sentiment as well as for accurate food classification

Fast median filter based on color histogram.