Train Mask R-CNN for Image Segmentation

Web Application for Deep Learning model generation-training-inference

Código fuente del proyecto de materia integradora Detección de lesiones cerebrales mediante análisis de imagenes MRI(Magnetic Resonance Imaging) mediante el uso de deep learning.

An ML model which uses Gaussian Mixture Model clustering to classify customers.

Implementasi arsitektur Segnet menggunakan Tensorflow dengan kasus Segmentasi daerah infeksi paru-paru penderita Covid-19.

Materials from conference workshop

Repository for the Capstone Project of the MBD-PT January 2022. This repository contains several notebooks performing detailed analysis of the data, identification of Market Drivers, segmentation of stores, predictions of future sales and design of appropriate promotional strategies to extract the most value upon Beer sales in Spain

This is a system that was used for the detection and segmentation of uterine fibroids using ultrasound images as the input

Customer segmentation

The system is designed to segment crops from the background in images collected by Unmanned Aerial Vehicles.

Unsupervised Learning: Clustering using unsupervised models.

segment image objects based on color

CS7GV1- Computer Vision

Customer segmentation for mail-orders in Germany, using unsupervised learning

FUSE toolkit supports fluorescent cell image alignment and analysis.

Моя учёба в скиллфэктори

E-Commerce Customer Segmentation using k-means clustering

In this project, I will analyze a dataset containing data on various customers' annual spending amounts (reported in monetary units) of 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. Doing so would equip…

Projeto pessoal de infraestrutura DevOps, com foco em redes, automação e virtualização para simular ambientes corporativos reais.

A Flutter-based mobile application for the real-time detection and decoding of ArUco fiducial markers, especially in challenging lighting conditions. Uses the DeepArUco++ approach..