Seatizen Atlas image dataset

Seatizen Atlas image dataset

This repository contains the resources and tools for accessing and utilizing the annotated images within the Seatizen Atlas dataset, as described in the paper Seatizen Atlas: a collaborative dataset of underwater and aerial marine imagery.

Download the Dataset

This annotated dataset is part of a bigger dataset composed of labeled and unlabeled images. To access information about the whole dataset, please visit the Zenodo repository and follow the download instructions provided.

Scientific Publication

If you use this dataset in your research, please consider citing the associated paper:

@article{Contini2025,   author = {Matteo Contini and Victor Illien and Mohan Julien and Mervyn Ravitchandirane and Victor Russias and Arthur Lazennec and Thomas Chevrier and Cam Ly Rintz and Léanne Carpentier and Pierre Gogendeau and César Leblanc and Serge Bernard and Alexandre Boyer and Justine Talpaert Daudon and Sylvain Poulain and Julien Barde and Alexis Joly and Sylvain Bonhommeau},   doi = {10.1038/s41597-024-04267-z},   issn = {2052-4463},   issue = {1},   journal = {Scientific Data},   pages = {67},   title = {Seatizen Atlas: a collaborative dataset of underwater and aerial marine imagery},   volume = {12},   url = {https://doi.org/10.1038/s41597-024-04267-z},   year = {2025},}

For detailed information about the dataset and experimental results, please refer to the previous paper.

Overview

The Seatizen Atlas dataset includes 14,492 multilabel and 1,200 instance segmentation annotated images. These images are useful for training and evaluating AI models for marine biodiversity research. The annotations follow standards from the Global Coral Reef Monitoring Network (GCRMN).

Annotation Details

Annotation Types:

Multilabel Convention: Identifies all observed classes in an image.

Instance Segmentation: Highlights contours of each instance for each class.

List of Classes

Algae

Algal Assemblage

Algae Halimeda

Algae Coralline

Algae Turf

Coral

Acropora Branching

Acropora Digitate

Acropora Submassive

Acropora Tabular

Bleached Coral

Dead Coral

Gorgonian

Living Coral

Non-acropora Millepora

Non-acropora Branching

Non-acropora Encrusting

Non-acropora Foliose

Non-acropora Massive

Non-acropora Coral Free

Non-acropora Submassive

Seagrass

Syringodium Isoetifolium

Thalassodendron Ciliatum

Habitat

Rock

Rubble

Sand

Other Organisms

Thorny Starfish

Sea Anemone

Ascidians

Giant Clam

Fish

Other Starfish

Sea Cucumber

Sea Urchin

Sponges

Turtle

Custom Classes

Blurred

Homo Sapiens

Human Object

Trample

Useless

Waste

These classes reflect the biodiversity and variety of habitats captured in the Seatizen Atlas dataset, providing valuable resources for training AI models in marine biodiversity research.

Usage Notes

The annotated images are available for non-commercial use. Users are requested to cite the related publication in any resulting works. A GitHub repository has been set up to facilitate data reuse and sharing: GitHub Repository.

Code Availability

All related codes for data processing, downloading, and AI model training can be found in the following GitHub repositories:

Plancha Workflow

Zenodo Tools

DinoVdeau Model

Acknowledgements

This dataset and associated research have been supported by several organizations, including the Seychelles Islands Foundation, Réserve Naturelle Marine de la Réunion, and Monaco Explorations, among others.

For any questions or collaboration inquiries, please contact [e-mail].