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lombardata/seatizen_atlas_image_dataset

Seatizen Atlas Image Dataset Dataset Card Dataset Name: Seatizen Atlas Image DatasetTask: Multi-label image classificationDomain: Marine BiodiversityLicense: cc0-1.0Size: 14,492 annotated images Description The Seatizen Atlas Image Dataset is a large-scale collection of annotated underwater images designed for training and evaluating artificial intelligence models in marine biodiversity research. It is specifically tailored for multi-label image… See the full description on the dataset page: https://huggingface.co/datasets/lombardata/seatizen_atlas_image_dataset.

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Dataset Card

Seatizen Atlas Image Dataset

Dataset Card

Dataset Name: Seatizen Atlas Image Dataset Task: Multi-label image classification Domain: Marine Biodiversity License: cc0-1.0 Size: 14,492 annotated images

Description

The Seatizen Atlas Image Dataset is a large-scale collection of annotated underwater images designed for training and evaluating artificial intelligence models in marine biodiversity research. It is specifically tailored for multi-label image classification tasks.

This dataset was curated by selecting only classes with more than 200 annotations to facilitate the training of computer vision models. For more information about the Seatizen Atlas Dataset, please refer to the Data paper and the Zenodo repository.

Acquisition Details

Underwater data acquisition was carried out using instrumented marine platforms. These platforms can be divided into two groups: citizen platforms and scientific platforms.

—Citizen platforms paddleboards, kitesurfs, snorkeling masks equipped with cameras. Images were collected by the "Seatizen" team to promote citizen science involvement in marine research.
—Scientific platforms Autonomous Surface Vehicles (ASV) equipped with a camera.

Dataset Structure

The Seatizen Atlas Image Dataset is organized as follows:

—Train split: 8716 images
—Validation split: 2886 images
—Test split: 2890 images

[image]

List of Annotated Classes

31 classes were grouped into five main categories:

Algae

—Algal Assemblage
—Algae Halimeda
—Algae Coralline
—Algae Turf

Coral

—Acropora Branching
—Acropora Digitate
—Acropora Submassive
—Acropora Tabular
—Bleached Coral
—Dead Coral
—Living Coral
—Non-acropora Millepora
—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 and Custom Classes

—Atra/Leucospilota
—Blurred
—Fish
—Homo Sapiens
—Human Object
—Sea Cucumber
—Sea Urchin
—Sponges
—Useless

More detailed information about the dataset classes, including full descriptions and examples of annotated images, can be found in the supplementary material available here.

Citation

If you use the Seatizen Atlas Image Dataset in your research, please consider cite the following:

bibtex

@article{contini2025seatizen,
  title={Seatizen Atlas: a collaborative dataset of underwater and aerial marine imagery},
  author={Contini, Matteo and Illien, Victor and Julien, Mohan and Ravitchandirane, Mervyn and Russias, Victor and Lazennec, Arthur and Chevrier, Thomas and Rintz, Cam Ly and Carpentier, L{\'e}anne and Gogendeau, Pierre and others},
  journal={Scientific Data},
  volume={12},
  number={1},
  pages={67},
  year={2025},
  publisher={Nature Publishing Group UK London}
}