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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 πŸ€— 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… See the full description on the dataset page: https://huggingface.co/datasets/wildflow/sweet-corals.

sourceHugging Facecc-by-4.0updated 1y agoView on Hugging Face
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Dataset Card

Coral reefs 3D photogrammetry

Description

We 3D mapped multiple coral reefs in Indonesia (following this protocol) and sharing all our data with you πŸ€—

exampel image

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! πŸͺΈ

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/
...
β”œβ”€β”€ raw/                         # Raw, unprocessed images
β”œβ”€β”€ corrected/                   # Colour-corrected and unwarped images (Pinhole format)
β”œβ”€β”€ colmap/                      # 3D reconstruction in COLMAP format
β”‚   β”œβ”€β”€ cameras.bin              # Camera parameters
β”‚   β”œβ”€β”€ images.bin               # Image data and pose information
β”‚   └── points3D.bin             # 3D point cloud data
β”œβ”€β”€ 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:

  • β€”βœ… Uploaded and available
  • β€”πŸŸ‘ Complete but needs uploading
  • β€”βšͺ Not done yet
Survey patchRawCountSizeCorrectedPoses3D Point cloudOrtho3DGS
Banyuwangi Farm 20250211βœ…8,70033.98 GBβšͺπŸŸ‘πŸŸ‘βœ…βšͺ
Pemuteran P1 20250213βœ…10,24640.02 GBβšͺπŸŸ‘πŸŸ‘βœ…βšͺ
Pemuteran P2 20250213βœ…6,98027.26 GBβšͺπŸŸ‘πŸŸ‘βœ…βšͺ
Pemuteran P3 20250213βœ…7,58029.60 GBβšͺπŸŸ‘πŸŸ‘βœ…βšͺ
Tabuhan P1 20250210βœ…6,59025.74 GBβœ…βœ…βœ…βœ…βœ…
Tabuhan P2 20250210βœ…8,82234.46 GBβšͺπŸŸ‘πŸŸ‘βœ…βšͺ
Tabuhan P3 20250210βœ…6,95227.15 GBβšͺπŸŸ‘πŸŸ‘βœ…βšͺ
Watudodol P1 20250208βœ…8,39531.85 GBβšͺπŸŸ‘πŸŸ‘βœ…βšͺ
Watudodol P2 20250208βœ…3,87115.12 GBβšͺπŸŸ‘πŸŸ‘βœ…βšͺ
Watudodol P3 20250208βœ…2,93811.47 GBβšͺπŸŸ‘πŸŸ‘βœ…βšͺ
Watudodol P4 20250209βœ…8,84634.55 GBβšͺπŸŸ‘πŸŸ‘βœ…βšͺ
Watudodol P5 20250209βœ…4,41217.23 GBβšͺπŸŸ‘πŸŸ‘βœ…βšͺ
Watudodol P6 20250209βœ…5,95723.26 GBβšͺπŸŸ‘πŸŸ‘βœ…βšͺ
Total90,289351.75 GB

You can see more info in the metadata.json.

Contributors

This dataset was made possible by the amazing efforts of many brilliant people:

  • β€”Mujiyanto, muji019@brin.go.id
  • β€”Raymon Rahmanov Zedta, raym003@brin.go.id
  • β€”Fakhrurrozi, fakhrurrozi24l@ms.unhas.ac.id
  • β€”Triona Barker, t.barker8@unimail.derby.ac.uk
  • β€”Muhammad Dziki Rahman, muhamaddzikir.aup@gmail.com
  • β€”Sergei Nozdrenkov, sergei@wildflow.ai
  • β€”Andrias Steward Samusamu, andr057@brin.go.id
  • β€”Fathur Rochman, fath009@brin.go.id
  • β€”Leigh Peters, l.peters8@unimail.derby.ac.uk
  • β€”Dr Rita Rachmawati, rita.rachmawati@brin.go.id
  • β€”Dr Ofri Johan, ofri001@brin.go.id
  • β€”Dr Jamie Craggs, jrkcraggs@gmail.com
  • β€”Prof Michael Sweet, m.sweet@derby.ac.uk

with the massive support of these organisations:

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:

  • β€”https://huggingface.co/datasets/wildflow/sweet-corals
  • β€”http://doi.org/10.57967/hf/5162
wildflow/sweet-corals Β· CoolFace