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,"

Enhancing glioma tumor segmentation and survival analysis

Dominant Color Extraction for Image Segmentation

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.

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.

HTSM Masterwork

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

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.

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

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.

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.

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

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.

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

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

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

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

deep learning segmentation for skin injuries

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…

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