A CNN based image segmentation tool oriented to marine data analysis
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Updated
Sep 4, 2026 - Python
A CNN based image segmentation tool oriented to marine data analysis
Human-in-the-Loop Annotation and Model Development for Benthic Imagery
Code repository for the paper: The Coralscapes Dataset: Semantic Scene Understanding in Coral Reefs
Code repository for the GCRMN benthic cover synthetic dataset
A repo for the paper titled, "Classifying 3D Models of Coral Reefs using Structure-from-Motion and Multiview Semantic Segmentation"; here we provide a walkthrough of the workflow and open-sourced code.
Climate data processing platform with interactive map and LLM-powered assistant.
Individual back-calculated size-at-age based on otoliths from Pacific coral reef fish species
An analysis of the factors that have affected the bleaching of coral reefs across a span of 20 years in different oceans around the globe.
Code repository for the GCRMN fish synthetic dataset
This code is part of a bigger project about the semantic segmentation of coral reefs for ecological monitoring.
Coral reefs benthic monitoring: spatio-temporal distribution, methods and stakeholders
CAT: Coral Annotation Tool for Structure from Motion (SfM) Orthomosaic coral reef annotation.
Status and Trends of Caribbean Coral Reefs: 1970-2024
Transforming the complexity of marine ecosystems into a living laboratory - where environmental scenarios play out in minutes, revealing adaptation patterns and informing strategies to protect our oceans.
Tools for processing Pacific NCRMP carbonate budgets data
Status and Trends of Coral Reefs of the Pacific: 1980-2023
Coral bleaching risk prediction using 40 years of oceanographic data
Coral-Health is an image classification vision-language encoder model fine-tuned from google/siglip2-base-patch16-224 for a single-label classification task. It is designed to classify coral reef images into two health conditions using the SiglipForImageClassification architecture.
This repository contains the code implementation used in the paper: "AI-driven Deployment of Coral Reseeding Devices for Broad-scale Restoration of the Great Barrier Reef".
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