Dataset Viewer
The dataset viewer is not available for this dataset.
Cannot get the config names for the dataset.
Error code: ConfigNamesError
Exception: BadZipFile
Message: File is not a zip file
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 66, in compute_config_names_response
config_names = get_dataset_config_names(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
dataset_module = dataset_module_factory(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1031, in dataset_module_factory
raise e1 from None
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 996, in dataset_module_factory
return HubDatasetModuleFactory(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 638, in get_module
module_name, default_builder_kwargs = infer_module_for_data_files(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 292, in infer_module_for_data_files
split_modules = {
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 293, in <dictcomp>
split: infer_module_for_data_files_list(data_files_list, download_config=download_config)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 234, in infer_module_for_data_files_list
return infer_module_for_data_files_list_in_archives(data_files_list, download_config=download_config)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 262, in infer_module_for_data_files_list_in_archives
for f in xglob(extracted, recursive=True, download_config=download_config)[
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/file_utils.py", line 999, in xglob
fs, *_ = url_to_fs(urlpath, **storage_options)
File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/core.py", line 395, in url_to_fs
fs = filesystem(protocol, **inkwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/registry.py", line 293, in filesystem
return cls(**storage_options)
File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/spec.py", line 80, in __call__
obj = super().__call__(*args, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/implementations/zip.py", line 62, in __init__
self.zip = zipfile.ZipFile(
File "/usr/local/lib/python3.9/zipfile.py", line 1266, in __init__
self._RealGetContents()
File "/usr/local/lib/python3.9/zipfile.py", line 1333, in _RealGetContents
raise BadZipFile("File is not a zip file")
zipfile.BadZipFile: File is not a zip fileNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
YAML Metadata
Warning:
empty or missing yaml metadata in repo card
(https://huggingface.co/docs/hub/datasets-cards)
Tabuhan Island Reef Dataset 🌊🐠
This dataset contains underwater reef imagery and 3D point cloud data collected at Tabuhan Island, Indonesia, using a GoPro Hero 13.
It is intended for use in marine research, computer vision, and reef monitoring applications (e.g., photogrammetry, habitat mapping, AI-based coral detection).
📂 Dataset Structure
1. raw.zip
- Size: ~6590 images
- Description:
The original raw images captured at the reef site. - Organization:
left/→ Images taken from the left side of transectsright/→ Images taken from the right side of transects
2. images.zip
- Size: ~6590 images
- Description:
The same raw images but color-corrected to account for underwater lighting, refraction, and blue–green wavelength absorption. - Purpose: Ready-to-use for training ML/DL models on coral recognition, habitat mapping, and classification tasks.
3. pointcloud.ply
- Format:
.ply - Description:
A 3D point cloud reconstruction of the reef site, derived from the image set. - Applications:
Useful for 3D reef structure analysis, habitat complexity studies, and digital twin creation.
🛠 Potential Applications
- Marine Ecology: Coral cover estimation, reef structure quantification
- Computer Vision: Semantic segmentation, object detection of coral and fish species
- 3D Modeling: Reconstruction of reef habitats for virtual surveys and monitoring
- AI Training Data: Pretraining or finetuning models for underwater imagery
⚠️ Notes
- The dataset is large (~20GB). Downloading may take time depending on your connection.
- Ensure sufficient storage and extract
.zipfiles before use. - This dataset is open source — free to use, share, and build upon.
- Attribution is appreciated but not required.
https://huggingface.co/datasets/Ramzzz13/tabuhan_island_reef_images
🙌 Acknowledgements
- Field data collected at Tabuhan Island, Indonesia.
- Equipment: GoPro Hero 13.
- Supported by the marine conservation and research community.
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