wildflow/sweet-corals
Coral reefs 3D photogrammetry Description We 3D mapped multiple coral reefs in Indonesia (following this protocol) and sharing all our data with you π€ This dataset currently contains 90,289 (352GB) of raw GoPro images and some colour-corrected images. Additional data - including camera poses, reconstructed 3D point clouds, 3D polygonal meshes, orthomosaics, annotations, and 3D Gaussian Splatting models - will be added soon. We just decided share raw data rightβ¦ See the full description on the dataset page: https://huggingface.co/datasets/wildflow/sweet-corals.
Coral reefs 3D photogrammetry
Description
We 3D mapped multiple coral reefs in Indonesia (following this protocol) and sharing all our data with you π€

This dataset currently **contains 90,289 (352GB) of raw GoPro images** and some colour-corrected images.
Additional data - including camera poses, reconstructed 3D point clouds, 3D polygonal meshes, orthomosaics, annotations, and 3D Gaussian Splatting models - will be added soon. We just decided share raw data right now, and processed as soon we have it, so we don't block the progress.
There's one survey site (farm) has a lot of photos with a ton of coral reef nurseries. It was collected not for reconstruction, but rather for training species classification models, because each table has the same coral species.
Everything (except the farm) is correctly georeferenced and scaled.
We hope this dataset helps improve AI models for coral reef species classification, 3D semantic segmentation, 3D reconstruction, disease detection and help protect these precious ecosystems! πͺΈ
Contact: sergei@wildflow.ai or m.sweet@derby.ac.uk if you have any questions.
License
This dataset is licensed under CC-BY-4.0 - no strings attached, even for commercial use, as long as attribution provided. Have fun!
Structure
Each dataset directory includes:
...
indonesia_tabuhan_p2_20250210/ # {country}_{site}_{patch}_{date}/
indonesia_pemuteran_p1_20250213/
...
βββ raw/ # Raw, unprocessed images
βββ corrected/ # Colour-corrected and unwarped images (Pinhole format)
βββ colmap/ # 3D reconstruction in COLMAP format
β βββ cameras.bin # Camera parameters
β βββ images.bin # Image data and pose information
β βββ points3D.bin # 3D point cloud data
βββ 3dgs/ # 3D Gaussian Splatting models
βββ metadata.json # Metadata including GPS coordinates, equipmentFile stats
You can see file stats below, along with different categories.
Legend:
- β Uploaded and available
- π‘ Complete but needs uploading
- βͺ Not done yet
You can see more info in the metadata.json.
Contributors
This dataset was made possible by the amazing efforts of many brilliant people:
- Mujiyanto, muji019@brin.go.id
- Raymon Rahmanov Zedta, raym003@brin.go.id
- Fakhrurrozi, fakhrurrozi24l@ms.unhas.ac.id
- Triona Barker, t.barker8@unimail.derby.ac.uk
- Muhammad Dziki Rahman, muhamaddzikir.aup@gmail.com
- Sergei Nozdrenkov, sergei@wildflow.ai
- Andrias Steward Samusamu, andr057@brin.go.id
- Fathur Rochman, fath009@brin.go.id
- Leigh Peters, l.peters8@unimail.derby.ac.uk
- Dr Rita Rachmawati, rita.rachmawati@brin.go.id
- Dr Ofri Johan, ofri001@brin.go.id
- Dr Jamie Craggs, jrkcraggs@gmail.com
- Prof Michael Sweet, m.sweet@derby.ac.uk
with the massive support of these organisations:
- University of Derby, UK
- BRIN: National Research and Innovation Agency, Indonesia
- Coral Spawning Lab, UK
- Wildflow, UK
- CORDAP: Coral Research & Development Accelerator Platform
Contact sergei@wildflow.ai or m.sweet@derby.ac.uk if you have any questions about the dataset.
Cite
@misc{wildflow_sweet_corals_indo_2025,
author = { Sergei Nozdrenkov and Mujiyanto and Raymon Rahmanov Zedta and Fakhrurrozi and Triona Barker and Muhammad Dziki Rahman and Andrias Steward Samusamu and Fathur Rochman and Leigh Peters and Dr Rita Rachmawati and Dr Ofri Johan and Dr Jamie Craggs and Prof Michael Sweet },
title = { sweet-corals (Revision bd316dc) },
year = 2025,
url = { https://huggingface.co/datasets/wildflow/sweet-corals },
doi = { 10.57967/hf/5162 },
publisher = { Hugging Face }
}Links:
- https://huggingface.co/datasets/wildflow/sweet-corals
- http://doi.org/10.57967/hf/5162
