Code for the paper titled "Advancing instance segmentation and WBC classification in peripheral blood smear through domain adaptation: A study on PBC and the novel RV-PBS datasets" published on Elsevier's Expert Systems With Applications (ESWA) journal.

Identifying vehicles on the road using computer vision and SegNets

General information for PyVinci. An application deployed for an extended hackathon competition hosted by the PyTorch Team.

Projects for the subject on Object Detection and Segmentation of the Master in Computer Vision (UAB)

An image classification algorithm using various Machine learning (ML) methods that classifies land & water on Sentinel-2A satellite image.

Enhancing glioma tumor segmentation and survival analysis

Применение классических методов обработки изображений для поиска на фотографии фигур тримино и определения их маркировки.

Image segmentation based on region growing in C++ language

deep learning segmentation for skin injuries

Dominant Color Extraction for Image Segmentation

This repository provides some algorithms to measure the bacteria growth on the petri dish.

In this project, I analyze a dataset containing annual spending spending data on diverse product categories for internal structure. One goal of this project is to best describe the variation in the different types of customers that a wholesale distributor interacts with.

Кодирование изображений ладоней в векторное описание при помощи скелетизации исходной картинки. Последующей анализ полученных признаковых описаний с целью выявления кластерной структуры.

Project Overview:- The objective of this hackathon challenge is to develop a robust and efficient algorithm or AI model capable of accurately segmenting the hypodense region from Brain Non-Contrast Computed Tomography (NCCT) images. The primary goal is to automate and streamline the identification of early ischemic changes in acute stroke patients.

Uses different techniques for Telugu handwritten characters recognition

In this project, we explore the sales data for a retail company and generate various analytics and insights from customer's past purchase behavior. I used SQL to analyze sales revenue. We also perform customer segmentation analysis using the RFM technique.

Scientific initiation project aimed at understanding the counting and classification of cochineals in forage palm rackets.

3 Data Science Challenges: Crop yield prediction, Weld defects detection and point cloud ground segmentation