image segmentation

A landcover classification tool based for humans. Classifier does "traditional" supervised and unsupervised learning. Image segmentation and soon also object detection

Marine biologists engaged in the study of coral reefs invest a significant portion of their time in manually processing data obtained from research dives. The objective of this challenge is to create an image segmentation pipeline that accelerates the analysis of such data. This endeavor aims to assist conservationists and researchers in enhancing their efforts to protect and comprehend these vital ocean ecosystems. Leveraging computer vision for the segmentation of coral reefs in benthic imagery holds the potential to quantify the long-term growth or decline of coral cover within marine protected areas.

This is a tool to segment microstructural evolution from 4D tomography data (or other image data).The method is based on clustering of a 2D histogram built from the intensities in a reference state and in an evolved state.

Bioinformatics - Segmentation of biofilm images using OpenCV library.

This is a project to train, use and analyze 2D and 3D neural networks for segmentation. It contains a UI and is implemented in pytorch and django as backend.

Estrategia para la segmentacion y clasificación de estadíos relacionados a la agresividad del cáncer de próstata según la escala de Gleason. Implementación el algoritmo de segmentación de objetos Mask R-CNN utilizando una arquitectura ResNet-101