The Coralscapes Dataset:
Semantic Scene Understanding
in Coral Reefs


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Legend of Coralscapes Classes

Coralscapes

The Coralscapes dataset is the first general-purpose dense semantic segmentation dataset for coral reefs. Similar in scope and with the same structure as the widely used Cityscapes dataset for urban scene understanding, Coralscapes allows for the benchmarking of semantic segmentation models in a new challenging domain.

Easy to use:

Use with the datasets package in Python:

from datasets import load_dataset
dataset = load_dataset("EPFL-ECEO/coralscapes")
image = dataset["test"][0]["image"]
label = dataset["test"][0]["label"]

2075 Images, 39 Classes,
174000 Annotations, 5 Countries

Legend of Coralscapes Classes

Transnational Red Sea Center

The Transnational Red Sea Center is a scientific research center created in 2019 at the Ecole Polytechnique fédérale in Lausanne (EPFL) with the official support of the Swiss Foreign Ministry. An independent and not-for-profit organization, the Center capitalizes on Switzerland’s neutrality, its longstanding tradition of promoting dialogue and its reputation for scientific excellence in order to bridge science and diplomacy for the future of coral reefs. In the Red Sea and beyond.

BibTeX

@misc{sauder2025coralscapesdatasetsemanticscene,
  title={The Coralscapes Dataset: Semantic Scene Understanding in Coral Reefs}, 
  author={Jonathan Sauder and Viktor Domazetoski and Guilhem Banc-Prandi and Gabriela Perna and Anders Meibom and Devis Tuia},
  year={2025},
  eprint={2503.20000},
  archivePrefix={arXiv},
  primaryClass={cs.CV},
  url={https://arxiv.org/abs/2503.20000}, 
}