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.
-
Updated
Jul 14, 2023 - Python
#
segmentation-based-detection
Here are 46 public repositories matching this topic...
Sort: Most stars
Sort options
OCR for recognizing Arabic text in images/ printed documents
-
Updated
Dec 25, 2019 - Python
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,"
computer-vision deep-learning image-processing sam segmentation water river segmentation-based-detection segmentation-automation segmentanythingmodel riversnap
-
Updated
Dec 30, 2024 - Jupyter Notebook
This is an auto-scoring system for the game of billiards implemented with YoloV3 and OpenCV in Python
-
Updated
Sep 26, 2022 - Python
Python-based OpenCV program for detecting leaves and creating segmentation masks based on images in the Komatsuna dataset.
opencv image-processing object-detection opencv-python background-subtraction watershed foreground-segmentation segmentation-based-detection opencv-python3 hsv-color-detection
-
Updated
Jun 22, 2022 - Python
Implementation of SqueezeSeg, convolutional neural networks for LiDAR point clout segmentation https://arxiv.org/abs/1710.07368
-
Updated
Nov 12, 2018 - Python
HTSM Masterwork
computer-vision deep-learning docker-deployment supervised-learning semantic-segmentation encoder-decoder-model oil-spill segmentation-based-detection segmentation-models streamlit-application
-
Updated
Mar 31, 2025 - Jupyter Notebook
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...
engineering tensorflow classification dentistry keras-neural-networks mask-rcnn fdi segmentation-based-detection radiographs tooth rcnn-model bitewing
-
Updated
Aug 9, 2022
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.
-
Updated
Aug 14, 2024 - Jupyter Notebook
Flood Segmentation on SAR [Frontiers in Remote Sensing: https://doi.org/10.3389/frsen.2022.1060144]
-
Updated
Jan 11, 2024 - Python
Neural Networks and Deep Learning Course Project
machine-learning deep-neural-networks computer-vision deep-learning neural-network machine-learning-algorithms deep-learning-algorithms thermal-imaging thermal-infrared unet-image-segmentation segmentation-based-detection segmentation-models
-
Updated
Nov 20, 2021 - 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.
-
Updated
May 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.
-
Updated
Jun 2, 2023 - Jupyter Notebook
Code & data splits for the paper "S-VVAD: Visual Voice Activity Detection by Motion Segmentation" WACV 2021
-
Updated
Jan 5, 2021 - 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
medical-imaging healthcare-application segmentation-based-detection segmentation-models retinal-vessel-segmentation efficientnet efficientnetb4
-
Updated
Jun 2, 2025 - Jupyter Notebook
This repository contains models for Multi-class disease detection using Chest X ray. A detail analysis of our approach is mentioned.
cnn classification cnn-keras cnn-classification chest-xrays segmentation-based-detection multiclass-image-classification
-
Updated
Apr 30, 2022 - Python
Performing Image Segmentation using detectron 2
-
Updated
Feb 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.
-
Updated
Feb 27, 2023 - TSQL
Algoritmi d'esame per il corso di Elaborazione delle Immagini all'Università degli Studi di Napoli "Parthenope".
-
Updated
Sep 7, 2022 - C++
A Brief Analysis of the Iterative Next Boundary Detection Network for Tree Rings Delineation in images of Pinus Taeda
-
Updated
Jun 29, 2025 - Python
Improve this page
Add a description, image, and links to the segmentation-based-detection topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the segmentation-based-detection topic, visit your repo's landing page and select "manage topics."