An approach for pixel-based classification of drivable parts of the road (known as Semantic Segmentation). Project 12 of Udacity's Self-Driving Car Engineer Nanodegree Program.
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Updated
Mar 19, 2018 - Python
An approach for pixel-based classification of drivable parts of the road (known as Semantic Segmentation). Project 12 of Udacity's Self-Driving Car Engineer Nanodegree Program.
This repository containis code for semantic segmentation of satellite image using U-Net architecture.
Real time semantic slam in ROS with a hand held RGB-D camera
Hybrid Feature Extraction for Chest xray
Diabetic retinpopath classfiction using trnasfer learning and Data augmentation
Analysis of the possibility of movement measurement on video recordings of the ICSI procedure using machine learning methods.
Code regarding the Semantic Segmentation in Federated Learning project for the Machine Learning and Deep Learning 2022/2023 project.
Minimalistic Image Labelling Framework (MILF): A simple utility for pixel-wise image annotations.
Federated Learning for semantic segmentation using Openfl and Pytorch
HistoSeg++: Delving deeper with attention and multiscale feature fusion for biomarker segmentation. Accepted in 12th International Conference on Biomedical and Bioinformatics Engineering (ICBBE 2025)
Ultraound-Guided Regional Anaesthesia semantic SEGmentation machine learning models
Neuroevolution of efficient neural networks for semantic segmentation
Kaggle Machine Learning computer vision project
Pixel segmentation of roads from dashboard camera using Fully Convolutional Network
Deep Convolutional Encoder-Decoder Architecture implemented along with max-pooling indices for pixel-wise semantic segmentation using CamVid dataset.
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