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#

segmentation-based-detection

Here are 46 public repositories matching this topic...

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.

  • UpdatedJul 14, 2023
  • Python

OCR for recognizing Arabic text in images/ printed documents

  • UpdatedDec 25, 2019
  • Python
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,"

  • UpdatedDec 30, 2024
  • Jupyter Notebook

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

  • UpdatedSep 26, 2022
  • Python
python-opencv-leaf-detection

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

  • UpdatedJun 22, 2022
  • Python

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

  • UpdatedNov 12, 2018
  • Python

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…

  • UpdatedAug 9, 2022

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

  • UpdatedJan 11, 2024
  • Python

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.

  • UpdatedAug 14, 2024
  • Jupyter Notebook

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.

  • UpdatedMay 24, 2019
  • Python

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.

  • UpdatedJun 2, 2023
  • Jupyter Notebook

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

  • UpdatedJan 5, 2021
  • Python

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

  • UpdatedApr 30, 2022
  • Python

This project demonstrates deep learning-based segmentation of retinal blood vessels from fundus images using a U-Net architecture with an EfficientNetB4 encoder. The goal is to segment vessel structures, a crucial step in diagnosing conditions like diabetic retinopathy, glaucoma, and hypertension.Model:U-Net with a pretrained EfficientNetB4 encoder

  • UpdatedJun 2, 2025
  • Jupyter Notebook

Performing Image Segmentation using detectron 2

  • UpdatedFeb 26, 2022
  • Jupyter Notebook

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.

  • UpdatedOct 16, 2025
  • TSQL

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

  • UpdatedSep 7, 2022
  • C++

A Brief Analysis of the Iterative Next Boundary Detection Network for Tree Rings Delineation in images of Pinus Taeda

  • UpdatedJun 29, 2025
  • Python

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