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.

Diabetic retinpopath classfiction using trnasfer learning and Data augmentation

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.

Neuroevolution of efficient neural networks for semantic segmentation

Ultraound-Guided Regional Anaesthesia semantic SEGmentation machine learning models

PyTorch for Semantic Segmentation

Kaggle Machine Learning computer vision project

exercise for pytorch

Data Science Bowl 2018

Semantic Segmentation with U-net and MobileUNETV2.

SegLoss: This repository discloses cost functions designed for the semantic segmentation tasks, namely, Active Boundary Loss, Boundary Loss and Distance Trasform Loss.

Implementation of the paper "U-Net: Convolutional Networks for Biomedical Image Segmentation" By Olaf Ronneberger, Philipp Fischer, Thomas Brox, 2015 in Tensorflow 2.x low level API.

Code for the Federated Learning project of the Politecnico di Torino Machine Learning and Deep Learning 2023 course

Progetto di deep learning sulla segmentazione semantica della scena stradale ed esercizi di image processing

This code is from paper "Content-Aware Adaptive Point Cloud Delivery", where the concept involves employing Semantic Segmentation to enhance the manageability and adaptability of a point cloud stream during network streaming.

Implementation of UNet Model for image segmentation. The model is trained on caravan cars dataset, and has successfully obtained an accuracy of 99.30 after being trained for only 3 epochs.