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---
license: cc-by-4.0
tags:
- coral reef
- 3d gaussian splatting
- photogrammetry
- 3d
- wildflow
- orthomosaic
pretty_name: 3D Coral Reefs
---
# Coral reefs 3D photogrammetry
## Description
We 3D mapped multiple coral reefs in Indonesia (following this [protocol](https://wildflow.ai/protocol)) and sharing all our data with you 🤗
This dataset currently [**contains 90,289 (352GB) of raw GoPro images**](https://huggingface.co/datasets/wildflow/sweet-corals/tree/main) and some [colour-corrected](https://huggingface.co/datasets/wildflow/sweet-corals/tree/main/_indonesia_tabuhan_p1_20250210/corrected/images) 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! 🪸
**Contact:** [email protected] or [email protected] if you have any questions.
## License
This dataset is licensed under [CC-BY-4.0](https://creativecommons.org/licenses/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/
...
├── raw/ # Raw, unprocessed images
├── corrected/ # Colour-corrected and unwarped images (Pinhole format)
├── colmap/ # 3D reconstruction in COLMAP format
│ ├── cameras.bin # Camera parameters
│ ├── images.bin # Image data and pose information
│ └── points3D.bin # 3D point cloud data
├── 3dgs/ # 3D Gaussian Splatting models
└── metadata.json # Metadata including GPS coordinates, equipment
```
## File stats
You can see file stats below, along with different categories.
Legend:
- ✅ Uploaded and available
- 🟡 Complete but needs uploading
- ⚪ Not done yet
| Survey patch | Raw | Count | Size | Corrected | Poses | 3D Point cloud | Ortho | 3DGS |
| ------------------------ | --- | ---------- | ------------- | --------- | ----- | -------------- | ----- | ---- |
| Banyuwangi Farm 20250211 | ✅ | 8,700 | 33.98 GB | ⚪ | 🟡 | 🟡 | ✅ | ⚪ |
| Pemuteran P1 20250213 | ✅ | 10,246 | 40.02 GB | ⚪ | 🟡 | 🟡 | ✅ | ⚪ |
| Pemuteran P2 20250213 | ✅ | 6,980 | 27.26 GB | ⚪ | 🟡 | 🟡 | ✅ | ⚪ |
| Pemuteran P3 20250213 | ✅ | 7,580 | 29.60 GB | ⚪ | 🟡 | 🟡 | ✅ | ⚪ |
| [Tabuhan P1 20250210](https://youtu.be/vHE97CLgTlQ?ref=hfds) | ✅ | 6,590 | 25.74 GB | ✅ | ✅ | ✅ | ✅ | ✅ |
| Tabuhan P2 20250210 | ✅ | 8,822 | 34.46 GB | ⚪ | 🟡 | 🟡 | ✅ | ⚪ |
| Tabuhan P3 20250210 | ✅ | 6,952 | 27.15 GB | ⚪ | 🟡 | 🟡 | ✅ | ⚪ |
| Watudodol P1 20250208 | ✅ | 8,395 | 31.85 GB | ⚪ | 🟡 | 🟡 | ✅ | ⚪ |
| Watudodol P2 20250208 | ✅ | 3,871 | 15.12 GB | ⚪ | 🟡 | 🟡 | ✅ | ⚪ |
| Watudodol P3 20250208 | ✅ | 2,938 | 11.47 GB | ⚪ | 🟡 | 🟡 | ✅ | ⚪ |
| Watudodol P4 20250209 | ✅ | 8,846 | 34.55 GB | ⚪ | 🟡 | 🟡 | ✅ | ⚪ |
| Watudodol P5 20250209 | ✅ | 4,412 | 17.23 GB | ⚪ | 🟡 | 🟡 | ✅ | ⚪ |
| Watudodol P6 20250209 | ✅ | 5,957 | 23.26 GB | ⚪ | 🟡 | 🟡 | ✅ | ⚪ |
| **Total** | | **90,289** | **351.75 GB** | | | | | |
You can see more info in the [metadata.json](metadata.json).
## Contributors
This dataset was made possible by the amazing efforts of many brilliant people:
- Mujiyanto, [email protected]
- Raymon Rahmanov Zedta, [email protected]
- Fakhrurrozi, [email protected]
- Triona Barker, [email protected]
- Muhammad Dziki Rahman, [email protected]
- Sergei Nozdrenkov, [email protected]
- Andrias Steward Samusamu, [email protected]
- Fathur Rochman, [email protected]
- Leigh Peters, [email protected]
- Dr Rita Rachmawati, [email protected]
- Dr Ofri Johan, [email protected]
- Dr Jamie Craggs, [email protected]
- Prof Michael Sweet, [email protected]
with the massive support of these organisations:
- [University of Derby](https://www.derby.ac.uk/), UK
- [BRIN: National Research and Innovation Agency](https://www.brin.go.id/en), Indonesia
- [Coral Spawning Lab](https://www.coralspawninglab.org/), UK
- [Wildflow](http://wildflow.ai/), UK
- [CORDAP: Coral Research & Development Accelerator Platform](https://cordap.org/)
Contact [email protected] or [email protected] 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
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