segmentation-based-detection
There are 39 repositories under segmentation-based-detection topic.
ademakdogan/nails_segmentation
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.
Kareem-Emad/arabic-ocr
OCR for recognizing Arabic text in images/ printed documents
AutoLidarPerception/SqueezeSeg
Implementation of SqueezeSeg, convolutional neural networks for LiDAR point clout segmentation https://arxiv.org/abs/1710.07368
julzerinos/python-opencv-leaf-detection
Python-based OpenCV program for detecting leaves and creating segmentation masks based on images in the Komatsuna dataset.
Avocadrew/AutoBilliards
This is an auto-scoring system for the game of billiards implemented with YoloV3 and OpenCV in Python
AbhishekRS4/HTSM_Oil_Spill_Segmentation
HTSM Masterwork
ArminMoghimi/Fine-tune-the-Segment-Anything-Model-SAM-
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,"
simurgailab/an-enhanced-tooth-segmentation-in-bitewing-radiographs
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 methods.
kjanjua26/PolypDetect
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.
vipulvs91/Thermal-Image-segmentation
Neural Networks and Deep Learning Course Project
RituYadav92/Uni-Temporal-Flood-Detection-Sentinel-1_Frontiers22
Flood Segmentation on SAR [Frontiers in Remote Sensing: https://doi.org/10.3389/frsen.2022.1060144]
ajosegun/PCBQualityControl
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.
IIT-PAVIS/S-VVAD
Code & data splits for the paper "S-VVAD: Visual Voice Activity Detection by Motion Segmentation" WACV 2021
neelkantnewra/Multiclass-disease-classification-using-modified-CNN
This repository contains models for Multi-class disease detection using Chest X ray. A detail analysis of our approach is mentioned.
Ashishkumar-hub/Image-Segmentation-using-Detectron-2
Performing Image Segmentation using detectron 2
Leyxargon/ELIM
Algoritmi d'esame per il corso di Elaborazione delle Immagini all'Università degli Studi di Napoli "Parthenope".
shrimantasatpati/Wrinkle-Detection-StreamLit
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.
adiag321/Customer-Segementation-Analysis-for-Retail-Business-Tableau
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.
andrey101010/ds-challenge-S-and-S
3 Data Science Challenges: Crop yield prediction, Weld defects detection and point cloud ground segmentation
eliashossain001/Brain-Cancer-Auto-Segmentation
Segmenting brain cancer using image fusion and deep neural network
Gus-1003/Projeto_Pesquisa_PalmaS
Scientific initiation project aimed at understanding the counting and classification of cochineals in forage palm rackets.
hmarichal93/mlbrief_inbd
A Brief Analysis of the Iterative Next Boundary Detection Network for Tree Rings Delineation in images of Pinus Taeda
syamkakarla98/Telugu_Character_Recognition
Uses different techniques for Telugu handwritten characters recognition
IanRiera/MCV-M5-Object-Detection-and-Segmentation
Projects for the subject on Object Detection and Segmentation of the Master in Computer Vision (UAB)
jharishav99/Dominant-Color-Extraction
Dominant Color Extraction for Image Segmentation
mohanrajujs/Image-Classification-using-Sentinel-2-Data-2019
An image classification algorithm using various Machine learning (ML) methods that classifies land & water on Sentinel-2A satellite image.
Salvatore-tech/Region-Growing-Segmentation
Image segmentation based on region growing in C++ language
santiagonars/pytorch-hackathon
General information for PyVinci. An application deployed for an extended hackathon competition hosted by the PyTorch Team.
Sidl419/hand_detection
Кодирование изображений ладоней в векторное описание при помощи скелетизации исходной картинки. Последующей анализ полученных признаковых описаний с целью выявления кластерной структуры.
thoth2357/skin-Lesion-Segmentation
deep learning segmentation for skin injuries
aanchal898/U-Net-and-Weak-Supervision-for-Brain-Tumor-Segmentation-and-Survival-Forecasting
Enhancing glioma tumor segmentation and survival analysis
Jimut123/cellseg
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.
oeminaga/HuntingTheBacteria
This repository provides some algorithms to measure the bacteria growth on the petri dish.
Sidl419/tromino_detection
Применение классических методов обработки изображений для поиска на фотографии фигур тримино и определения их маркировки.
vishal815/Team-LogicLegends-Proxmed-Hackathon-Hypodense-Segmentation-AI-Project-
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.