Datasets:
Tasks:
Image Classification
Modalities:
Image
Formats:
imagefolder
Languages:
English
Size:
1K - 10K
License:
docs: added README documentation
Browse files
README.md
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- pterois_volitans
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- arothron_meleagris
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- carcharhinus_melanopterus
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---
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- pterois_volitans
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- arothron_meleagris
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- carcharhinus_melanopterus
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---
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# Tropical Reef Fish Dataset
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A dataset of tropical reef fish images for species-level image classification, collected from iNaturalist.
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## Dataset Description
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Images were scraped from iNaturalist using research-grade observations with CC0 or CC-BY licenses. The dataset covers 12 species across 9 families, targeting fish commonly encountered by snorkelers at depths of 0-10 meters in tropical reef environments.
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This dataset was created as part of a bachelor thesis at ZHAW School of Engineering (Institute of Embedded Systems, InES) with the goal of training a lightweight image classifier for fully offline deployment on mobile devices.
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## Species
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| Scientific Name | Common Name | Family | Images |
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| --------------------------- | ---------------------- | -------------- | ------ |
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| _Acanthurus coeruleus_ | Atlantic Blue Tang | Acanthuridae | 500 |
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| _Naso unicornis_ | Bluespine Unicornfish | Acanthuridae | 500 |
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| _Scarus ghobban_ | Blue-barred Parrotfish | Labridae | 500 |
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| _Thalassoma lunare_ | Moon Wrasse | Labridae | 500 |
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| _Amphiprion ocellaris_ | Ocellaris Anemonefish | Pomacentridae | 356 |
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| _Chromis viridis_ | Blue-green Chromis | Pomacentridae | 413 |
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| _Chaetodon lunula_ | Raccoon Butterflyfish | Chaetodontidae | 500 |
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| _Pomacanthus imperator_ | Emperor Angelfish | Pomacanthidae | 291 |
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| _Rhinecanthus aculeatus_ | Lagoon Triggerfish | Balistidae | 500 |
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| _Pterois volitans_ | Red Lionfish | Scorpaenidae | 500 |
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| _Arothron meleagris_ | Guineafowl Puffer | Tetraodontidae | 499 |
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| _Carcharhinus melanopterus_ | Blacktip Reef Shark | Carcharhinidae | 468 |
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**Total: 5,527 images across 12 species**
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## Data Collection
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- **Source**: [iNaturalist](https://www.inaturalist.org) API (research-grade observations only)
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- **Licenses**: CC0 and CC-BY only, validated at the individual photo level
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- **Image resolution**: Original resolution as provided by iNaturalist
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- **Target depth range**: 0–10m (snorkeling depth)
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- **Contributors**: Leisure snorkelers and underwater photographers worldwide
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## Structure
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```
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data/
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<family_scientific_name>/
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<species_scientific_name>/
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<species_scientific_name>_0000.jpg
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...
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dataset.json
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```
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## Metadata
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Each image entry in the `data` array of `dataset.json` contains:
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- `species_taxon_id` — iNaturalist taxon ID for the species (links to `labels` array)
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- `file` — relative path to the image file
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- `observation_id` / `observation_uri` — link back to the original iNaturalist observation
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- `photo_id` / `photo_url_original` — original photo reference on iNaturalist
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- `photo_license` — per-photo license (`cc0` or `cc-by`)
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- `photo_attribution` — attribution string as required by the license
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Species and family metadata is stored separately in the `labels` array, accessed via `species_taxon_id` keys:
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- `species_taxon_id` / `family_taxon_id` — iNaturalist taxon IDs
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- `family_common_name` / `family_scientific_name` — family-level classification
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- `species_common_name` / `species_scientific_name` — species-level classification
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- `image_count` — number of images for this species in the dataset
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## Intended Use
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This dataset is intended for training lightweight convolutional neural networks for species-level fish classification on mobile devices. It is not exhaustive of all tropical reef fish species and is not intended for scientific surveys or biodiversity assessments.
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## Limitations
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- Moderate class imbalance (291–500 images per species)
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- No bounding box annotations — classification labels only
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- Image quality varies (motion blur, partial occlusion, waterproof housing distortion)
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## Attribution
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This dataset contains images contributed by iNaturalist observers under CC0 and CC-BY licenses. Full per-image attribution is available in `dataset.json` under the `photo_attribution` field. Please credit original observers when redistributing or publishing work derived from this dataset.
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## License
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Dataset metadata and structure: [CC-BY 4.0](https://creativecommons.org/licenses/by/4.0/)
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Individual images: see `photo_license` field in `dataset.json` (CC0 or CC-BY)
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