This project was made for nails segmentation using deep learning models. __DeepLabV3Plus__ was used for segmentation problem. ResNet101 were used as encoder and imagenet weights were used as encoder weights.

OCR for recognizing Arabic text in images/ printed documents

Implementation of SqueezeSeg, convolutional neural networks for LiDAR point clout segmentation https://arxiv.org/abs/1710.07368

Python-based OpenCV program for detecting leaves and creating segmentation masks based on images in the Komatsuna dataset.

A. Moghimi, M. Welzel, T. Celik, and T. Schlurmann, "A Comparative Performance Analysis of Popular Deep Learning Models and Segment Anything Model (SAM) for River Water Segmentation in Close-Range Remote Sensing Imagery,"

This is an auto-scoring system for the game of billiards implemented with YoloV3 and OpenCV in Python

HTSM Masterwork

This study was published in 2022 in a scientific journal with SCI-Expanded index. The tooth numbering module uses the FDI notation, which is widely used by dentists, to classify and number dental items found as a result of segmentation. The performance of the Mask R–CNN method used has been proven by comparing it with other state-of-the-art meth…

This is a repository for the project Detection of Polyps in Colonoscopy. We implement the pipeline for detecting and segmenting the polyps from the capsule endoscopy video feed.

Neural Networks and Deep Learning Course Project

Flood Segmentation on SAR [Frontiers in Remote Sensing: https://doi.org/10.3389/frsen.2022.1060144]

PCBQualityControl uses the latest segmentation models to solve this problem of void detection. This solution trained Yolov8 on the target to automatically select (bounding box). SAM then uses the output of YOLO to segment the image, exposing the void and component areas. A quality control report is generated based on the voids to components ratio.

Code & data splits for the paper "S-VVAD: Visual Voice Activity Detection by Motion Segmentation" WACV 2021

This repository contains models for Multi-class disease detection using Chest X ray. A detail analysis of our approach is mentioned.

Performing Image Segmentation using detectron 2

Algoritmi d'esame per il corso di Elaborazione delle Immagini all'Università degli Studi di Napoli "Parthenope".

This project implements a Wrinkle Detection application using YOLOv8 for segmentations. The application is built with Streamlit and allows users to upload images for wrinkle detection of human faces. Segmentation using YOLOv8s (small) finetuned model.

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.

Segmenting brain cancer using image fusion and deep neural network