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--- |
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license: mit |
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task_categories: |
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- image-classification |
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tags: |
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- biology |
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- marine-life |
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- biodiversity |
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pretty_name: 'Sea Shell Classification Dataset' |
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size_categories: |
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- 1K<n<10K |
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--- |
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# π De_vuelta_a_casa: Sea Shell Image Dataset |
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## π Dataset Description |
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The **De_vuelta_a_casa** dataset contains images of sea shells classified by species and divided into two geographic regions: **Caribbean** and **Pacific**. The dataset is organized into two main categories of mollusks: |
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- **Bivalves**: Mollusks with two shells (e.g., clams, oysters). |
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- **Gastropoda**: Mollusks with a single shell (e.g., snails). |
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Images were sourced from publicly available online resources and meticulously categorized by species within each geographic region. This dataset is ideal for: |
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- Image classification projects. |
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- Marine biodiversity research. |
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- Studies in marine biology. |
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## π Dataset Structure |
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The dataset follows the folder structure below: |
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```plaintext |
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De_vuelta_a_casa/ |
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βββ Dataset/ |
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βββ Bivalves/ |
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βββ Caribbean/ |
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βββ species_1.jpg |
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βββ species_2.jpg |
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βββ ... |
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βββ Pacific/ |
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βββ species_1.jpg |
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βββ species_2.jpg |
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βββ ... |
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βββ Gastropoda/ |
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βββ Caribbean/ |
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βββ species_1.jpg |
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βββ species_2.jpg |
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βββ ... |
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βββ Pacific/ |
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βββ species_1.jpg |
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βββ species_2.jpg |
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βββ ... |
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``` |
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Each folder contains images organized by region and species. |
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## π·οΈDataset Details |
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Total number of images: [Add the total number of images here] |
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Number of species: [Add the number of species here] |
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Geographic Regions: Caribbean and Pacific from Costa Rica |
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OverCategories: |
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-Bivalves: Two-shelled mollusks (e.g., clams, oysters) |
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-Gastropoda: Single-shelled mollusks (e.g., snails) |
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Image sources: Images collected from various public online sources. |
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Average resolution: [Add the average image resolution here, if relevant]. |
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Labels: Each image is labeled with the species name it belongs to. |
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Sources: Publicly available images from the internet |
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Image Format: JPEG/PNG |
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Labels: Species name and geographic region |
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## π Applications |
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This dataset can be used for: |
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**Marine Biodiversity Research:** Studying species distribution and diversity. |
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**Image Classification:** Training models to identify and classify mollusk species. |
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**Environmental Studies:** Understanding the impact of environmental factors on species distribution. |
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**Educational Purposes:** Teaching about marine ecosystems and mollusk species. |
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## π Getting Started |
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### π₯ Download the Dataset |
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You can download the dataset directly from Hugging Face using the following command: |
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```python |
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pip install datasets |
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``` |
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```python |
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from datasets import load_dataset |
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dataset = load_dataset("De_vuelta_a_casa", split="train") |
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``` |
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### π Access Specific Categories |
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To access images from specific categories: |
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**Bivalves (Caribbean):** |
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```python |
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dataset["Dataset/Bivalves/Caribbean/"] |
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``` |
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**Bivalves (Pacific):** |
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```python |
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dataset["Dataset/Bivalves/Pacific/"] |
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``` |
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**Gastropoda (Caribbean):** |
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```python |
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dataset["Dataset/Gastropoda/Caribbean/"] |
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``` |
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**Gastropoda (Pacific):** |
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```python |
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dataset["Dataset/Gastropoda/Pacific/"] |
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``` |
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## π Licensing and Usage |
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License: MIT License |
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Usage: |
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This dataset is intended for educational and research purposes only. |
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Commercial use of the dataset requires prior verification of the original image sources. |
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Respect the copyright and intellectual property rights associated with the collected images. |
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## π Acknowledgments |
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Special thanks to: |
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All contributors who have made marine species documentation publicly available. |
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The creators of open-source tools that have enabled this project. |
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This dataset was created to promote awareness of marine biodiversity and support scientific research. We hope it helps researchers, educators, and enthusiasts understand and protect our oceans' ecosystems. |
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## π Citation |
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If you use this dataset in your research, please cite it as follows: |
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```bibtex |
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@dataset{de_vuelta_a_casa, |
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title = {De_vuelta_a_casa: Sea Shell Image Dataset}, |
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author = {JoystickData Team}, |
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year = {2025}, |
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publisher = {Hugging Face}, |
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url = {https://huggingface.co/datasets/De_vuelta_a_casa} |
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} |
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``` |
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