---
license: mit
task_categories:
  - text-classification
tags:
  - biology
  - marine-life
pretty_name: 'Clasificación de conchas de mar'
size_categories:
  - 1K<n<10K
---


🐚# De_vuelta_a_casa: Dataset of Sea Shell Images
🌊## Dataset Description
The "De_vuelta_a_casa" dataset contains images of sea shells classified by species from two geographic regions: Caribbean and Pacific. The dataset is organized into two main categories of mollusks:

Bivalves: Mollusks with two shells (e.g., clams, oysters).
Gastropoda: Mollusks with a single shell (e.g., snails).

The images were collected from various online sources and carefully classified by species within each geographic region. This dataset is designed for use in image classification projects, marine biodiversity studies, and marine biology research.
This dataset contains images of sea shells, divided into two main categories:

Bivalves
  Caribbean
  Pacific
Gastropoda
  Caribbean
  Pacific
  
The images were sourced from publicly available internet data, and species are classified according to their region.
📂@ Dataset Structure
The dataset is organized into the following folder structure:

```python
De_vuelta_a_casa/
├── Dataset/
    ├── Bivalves/
        ├── Caribbean/
            ├── species_1.jpg
            ├── species_2.jpg
            └── ...
        ├── Pacific/
            ├── species_1.jpg
            ├── species_2.jpg
            └── ...
    ├── Gastropoda/
        ├── Caribbean/
            ├── species_1.jpg
            ├── species_2.jpg
            └── ...
        ├── Pacific/
            ├── species_1.jpg
            ├── species_2.jpg
            └── ...
```
Each folder contains images organized by region and species.

🏷️# Dataset Details
Total number of images: [Add the total number of images here]
Number of species: [Add the number of species here]
Image sources: Images collected from various public online sources.
Average resolution: [Add the average image resolution here, if relevant].
Labels: Each image is labeled with the species name it belongs to.

🔍# Potential Applications
This dataset can be useful for:

Classification of mollusk images.
Marine biodiversity studies.
Analysis of patterns and features among species from different regions.
Training deep learning models for automatic species identification.
🚀# How to Use the Dataset
You can load the dataset directly from Hugging Face using the datasets library in Python:



from datasets import load_dataset
```python
dataset = load_dataset("De_vuelta_a_casa", split="train")
```

To access specific images:

Bivalves from the Caribbean:
```python
dataset["Dataset/Bivalves/Caribbean/"]
```
Gastropoda from the Pacific:
```python
dataset["Dataset/Gastropoda/Pacific/"]
```

⚠️# Considerations and License
This dataset contains images collected from the internet and is intended for educational and research purposes only.
It is recommended to verify the images before using them in commercial projects.
Please respect the copyright associated with the images collected.

🌟 Acknowledgments
Special thanks to all the public sources and individuals who contributed to the knowledge and documentation of marine species. This work aims to support biodiversity preservation and scientific research.