A CNN based image segmentation tool oriented to marine data analysis
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Updated
Dec 4, 2025 - Python
A CNN based image segmentation tool oriented to marine data analysis
Tools for panoptic segmentation and developing machine learning models for benthic imagery
Code repository for the GCRMN benthic cover synthetic dataset
Code repository for the paper: The Coralscapes Dataset: Semantic Scene Understanding in Coral Reefs
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.
Coral reefs benthic monitoring: spatio-temporal distribution, methods and stakeholders
Individual back-calculated size-at-age based on otoliths from Pacific coral reef fish species
This code is part of a bigger project about the semantic segmentation of coral reefs for ecological monitoring.
Code repository for the GCRMN fish synthetic dataset
Tools for processing Pacific NCRMP carbonate budgets data
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.
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.
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.
An integrated suite for coral reef research combining Meta AI's SAM2 and automated annotation tools.
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".
Status and Trends of Coral Reefs of the Pacific: 1980-2023
Repository for creating object detection and instance segmentation models for deep-sea benthic habitats.
Status of coral reef monitoring: An assessment of methods and data at the national level
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